Fabio is available for hire

Fabio Bressler

Verified Expert in Engineering

Data Engineer and Developer

Porto Alegre - State of Rio Grande do Sul, Brazil

Toptal member since June 24, 2020

Expertise

Data Engineering Debugging Data Migration Data Warehouse Back-end Developers Software Development Data Analysis API SQL Linux Database Oracle Development ETL

Bio

Backed by an MBA in strategic leadership for business, Fabio is a certified blockchain expert with a professional development and architecture background. He brings several years of experience in database modeling, data handling, and performance tuning related to data ingestion and extraction, along with blockchain data design and implementation. Furthermore, Fabio specializes in AWS cloud architecture—being a fan of cheaper serverless implementation and infrastructure as code deployments.

Portfolio

Foothold Technology

PostgreSQL, Database Administration (DBA), SQL, Terraform, Pulumi, Snowflake...

Webacy Inc.

Python, ETL, Data Warehousing, NoSQL, Relational Database Services (RDS)...

Measure Protocol Limited

Python, Pandas, Data Engineering, Data Pipelines, ETL, Apache Airflow...

Experience

SQL - 20 years
Data Engineering - 20 years
Relational Databases - 20 years
Database Architecture - 20 years
SQL Stored Procedures - 15 years
ETL - 10 years
PostgreSQL - 6 years
Data Build Tool (dbt) - 4 years

Availability

Part-time

Preferred Environment

Database Architecture, Data Architecture, Amazon Web Services (AWS), SQL, Solidity, TypeScript, Blockchain, PostgreSQL, Serverless, Infrastructure as Code (IaC)

The most amazing...

...thing I've built recently from design to implementation is a full database and back-end app to store, calculate, and retrieve crypto wallet risk score analysis.

Work Experience

Senior Data Engineer and Data Architect

2023 - PRESENT

Foothold Technology

Handled PostgreSQL data structures for schema conformance on 470+ databases with application roadmap rollout alignment.
Implemented PostgreSQL replication with IaC using Pulumi, Ansible, and Fivetran for a faster and more reliable analytics ELT pipeline.
Organized and reviewed the analytics data pipeline design with activity dependencies. Aligned with the product and application teams on the OLTP source side for pre-transformation adjustments for a better sequence rollout of the pipeline.
Reviewed the analytics data build tool (dbt) transformation process and suggested changes for better automation while migrating from the old to a newer enhanced process.

Technologies: PostgreSQL, Database Administration (DBA), SQL, Terraform, Pulumi, Snowflake, Infrastructure as Code (IaC), Amazon EC2, Fivetran, Performance Optimization, HIPAA Compliance, Technical Leadership, Performance, Deployment, SQL Performance, Scrum, Agile, Product Delivery, Agile Project Management, Business Intelligence (BI), Reports, dbt Cloud, Data Build Tool (dbt), Stored Procedure, Data Strategy, Large Data Sets, Data Warehouse Testing, DevOps, Bitbucket, ETL Tools, Back-end, Docker

Senior Blockchain Data and Back-end Solutions Architect

2023 - 2024

Webacy Inc.

Defined and implemented data structures for a back-end application for crypto wallet risk analysis and PostgreSQL infrastructure and statements for fast bulk insert of blockchain transactions and their related metadata.
Defined and implemented back-end code to store and retrieve on/off-chain risk data for crypto wallet holders, merging multiple data sources and proprietary risk analysis into a single data schema for several ways to expose it from API endpoints.
Created better code rollout automation for multi-environment deployment stages from development to production and GitHub Actions to handle validations and code build and push into AWS private registry aiming Git branch-related stages.
Used AWS CDK v2 for fault-tolerant infrastructure stack deployment and maintenance through code (IaC) to spin up a production-like environment from scratch from a single CLI command or GitHub Action.
Created Slack command actions for relevant information for the marketing team to get statistics on risk score API usage and created other scheduled AWS Lambda handled services to monitor and report application usage.

Technologies: Python, ETL, Data Warehousing, NoSQL, Relational Database Services (RDS), Databases, TypeScript, Prisma, Amazon Web Services (AWS), AWS Cloud Development Kit (CDK), Amazon Elastic Container Service (ECS), ECS, Docker, Crypto, Blockchain, REST, GraphQL, Serverless, AWS Lambda, Amazon RDS, Amazon Aurora, Amazon CloudWatch, CI/CD Pipelines, JavaScript, PostgreSQL, Redis, Supabase, Retool, Sqitch, GitHub, GitHub Actions, OpenID Connect (OIDC), Slack App, AWS Step Functions, Amazon Simple Queue Service (SQS), Performance Optimization, Performance, Deployment, SQL Performance, Ethers.js, IT Business Analysis, System Design, Solutioning, Data Feeds, Reliability, Business Requirements, System Architecture, Data Structures, Software, Software Architecture, Scrum, Agile, Product Delivery, Agile Project Management, Business Analysis, Reports, Amazon S3 (AWS S3), Stored Procedure, Data Strategy, Data Build Tool (dbt), DevOps, API Integration, Dashboards, Back-end

Lead Pipeline Data Extraction/Analytics Engineer

2023 - 2023

Measure Protocol Limited

Orchestrated and developed pipeline data extraction modules for major tech data providers (Google, Meta, TikTok) sources and ensured data standardization for analytics generation.
Performed continuous alignment with leadership to ensure correctness, align next-step improvements, and suggest data quality on the raw data to be transformed.
Implemented tests to ensure code execution conformance and maintain quality control in data extraction processes.

Technologies: Python, Pandas, Data Engineering, Data Pipelines, ETL, Apache Airflow, Solutioning, Custom Solutions, Leadership, Data Analysis, Data Feeds, Reliability, Data Transformation, Git, GitHub, GitHub Actions, Business Requirements, System Architecture, Data Structures, System Integration, NumPy, Tableau

Senior Blockchain Data Engineer and Solutions Architect

2022 - 2023

Nethermind

Built an end-to-end blockchain data app for opportunity trading analysis for decentralized finance lending and borrowing pools, handling data, test suites for validation, orchestration (Airflow), and deployment to cloud environments.
Led team in software release best practices, test code coverage, and GitHub automation pipeline validations. Instructed on data handling practices to prevent future bottlenecks, optimizing targeted data products for future commercial opportunities.
Provided consulting and overall systems design on company internal products like pipeline data extractions for HR, data structure refactoring for best performance, and data usage and AWS serverless implementation guidelines.

Technologies: Python, PostgreSQL, Google Cloud Platform (GCP), Data Analysis, Data Architecture, System Design, Apache Airflow, Data Pipelines, Pandas, RDBMS, Data Visualization, Databases, Data Engineering, Relational Databases, Database Transactions, Git, Docker, SQLAlchemy, Debugging, Shell Scripting, Technical Design, Technical Drawing, Flask, Amazon RDS, Data Processing, Data Processing Automation, Blockchain Platforms, CSV, Scripting, Scripting Languages, Data Modeling, REST, Database Triggers, Notion, Retool, Statistics, Good Clinical Practice (GCP), Data Warehouse Design, Data Warehousing, Google BigQuery, Architecture, Data-driven Design, Scalability, Relational Database Services (RDS), JSON, Unix Shell Scripting, GitHub, CI/CD Pipelines, Excel 2016, Big Data, Amazon EC2, Data Transformation, Database Structure, Transactions, Data, Exploratory Data Analysis, Data Science, Database Performance, Node.js, Networks, SQL Triggers, APIs, AWS IAM, Amazon Virtual Private Cloud (VPC), Amazon CloudWatch, BigQuery, Terraform, API Design, Web Scraping, Cryptocurrency, REST APIs, API Databases, Data Analytics, Dimensional Modeling, Data Reporting, Performance Optimization, Technical Leadership, Performance, Deployment, SQL Performance, Ethers.js, Solutioning, Custom Solutions, Data Feeds, Reliability, Kubernetes, Data Structures, Software, Software Architecture, Scrum, Agile, Product Delivery, Agile Project Management, Business Analysis, Amazon S3 (AWS S3), Parquet, Data Warehouse Testing, DevOps, NumPy, Data Scraping, API Integration, Dashboards, ETL Tools, Back-end, Data Lakes

Principal Technology Architect (CTO Group)

2021 - 2022

ADP

Oversaw and implemented a successful integration of a large-scale Influx data pipeline to PostgreSQL data structures; built a GraphQL layer for enhanced API data outputs and application performance for the entire company's CI/CD internal processes.
Led the implementation of software development best practices, testing strategies, coverage analysis, automation processes, and deployment procedures, aligning with the company's digital transformation objectives over legacy development processes.
Collaborated directly with the company's headquarters CTO group to assess and communicate the organization's maturity level in several areas, providing visibility to C-level through custom implementation dashboards.

Technologies: PostgreSQL, Python, TypeScript, Node.js, InfluxDB, GraphQL, Kubernetes, Jenkins, Docker, Amazon Web Services (AWS), Leadership, CTO, System Design, Technical Leadership, Solutioning, Business Requirements, System Architecture, Data Structures, Software Architecture, Scrum, Agile, Product Delivery, Agile Project Management, Business Analysis, Business Intelligence (BI), Reports, Data Strategy, Large Data Sets, DevOps, API Integration, Dashboards, Bitbucket, ETL Tools, Data Lakes

Database Architect and Back-end Solutions Architect

2021 - 2022

Inveniam Capital Partners, Inc.

Delivered the requested technical documentation and action plan for a blockchain app architecture with client onboarding, blockchain oracle node integration (Chainlink and API3 Airnode), and marketplace for client data focused on real estate.
Implemented a Web3 end-to-end POC application for building air quality IoT data persisted on-chain as certificates using Ethereum testnet with the tech stack Solidity, TypeScript, Ethers.js, and Hardhat.
Handled the creation of serverless API using the AWS stack (with API Gateway and Lambda code) as a real estate challenge for a Chainlink hackathon, including usage instructions for the event.
Initiated a project to automate off-chain integration with Oracle nodes using the open source API3 Airnode stack and onboard the clients on real estate tokenization. A spin-off was later absorbed by the main corporation.

Technologies: Data Architecture, ETL, Solidity, Ethereum, Ethers.js, TypeScript, Node.js, Data Pipelines, RDBMS, Data Migration, Databases, Data Engineering, Relational Databases, SQL Stored Procedures, Database Transactions, Git, Docker, SQLAlchemy, Debugging, Shell Scripting, Query Optimization, Technical Design, Technical Drawing, Flask, Amazon RDS, AWS Lambda, Data Processing, Data Processing Automation, Blockchain Platforms, Microsoft Excel, CSV, Scripting, ETL Tools, Scripting Languages, System Design, Apache Airflow, Data Modeling, Database Administration (DBA), REST, Data Mining, Database Triggers, Database Optimization, Data Integration, Amazon S3 (AWS S3), Amazon Athena, Data Warehouse Design, Data Warehousing, Architecture, Data-driven Design, NoSQL, Telemetry, Relational Database Services (RDS), JSON, Unix Shell Scripting, GitHub, CI/CD Pipelines, Excel 2016, Amazon EC2, Data Transformation, Message Queues, Database Structure, Data, Exploratory Data Analysis, Data Science, ELT, Networks, Amazon Aurora, SQL Triggers, APIs, AWS IAM, Amazon Virtual Private Cloud (VPC), Amazon CloudWatch, API Design, Web Scraping, Infrastructure as Code (IaC), REST APIs, API Databases, IT Business Analysis, Solutioning, Reliability, Business Requirements, System Architecture, Data Structures, Software, Software Architecture, Business Analysis, Stored Procedure, NumPy, Data Scraping, API Integration, Back-end, Data Lakes

Database Expert and Integrations Specialist

2020 - 2022

Seaber Oy

Ensured application security by implementing row-level security on PostgreSQL to enable proper data visualization and enhanced performance for application clients/users. Also created an audit process for compliance reporting.
Identified database performance bottlenecks, adjusted indexes to remediate such issues, and added automated checks to the existing CI automation pipeline to prevent future performance gaps from coming into the application rollout process.
Planned and implemented a back-end API integration with external partners using TypeScript and GraphQL to fetch and load data into the application database.
Implemented a web scraper using Python for open source ship data information and loaded into a side data store for fast validation of application inputs.

Technologies: PostgreSQL, SQL, GraphQL, Python, Node.js, TypeScript, APIs, Amazon Web Services (AWS), Pandas, RDBMS, Data Migration, Databases, MySQL, Data Engineering, ETL, Relational Databases, SQL Stored Procedures, Database Transactions, Git, Docker, SQLAlchemy, Debugging, Shell Scripting, Query Optimization, Technical Drawing, Flask, Amazon RDS, Data Processing, Data Processing Automation, Microsoft Excel, CSV, Scripting, ETL Tools, Scripting Languages, Data Modeling, Database Administration (DBA), REST, Database Triggers, Database Optimization, Data Integration, Amazon S3 (AWS S3), Data Warehouse Design, Data Warehousing, Architecture, Data-driven Design, Relational Database Services (RDS), JSON, Unix Shell Scripting, GitHub, XML, CI/CD Pipelines, Excel 2016, Amazon EC2, Data Transformation, Message Queues, Database Structure, Transactions, Data, Data Science, ELT, Database Performance, Amazon Aurora, SQL Triggers, AWS IAM, Amazon Virtual Private Cloud (VPC), Amazon CloudWatch, API Design, Web Scraping, Infrastructure as Code (IaC), REST APIs, API Databases, Performance Optimization, Performance, Deployment, SQL Performance, Business Requirements, Data Structures, Scrum, Agile, Product Delivery, Agile Project Management, System Integration, Stored Procedure, Data Strategy, Data Warehouse Testing, Data Scraping, API Integration, Back-end

Technical/People Leader and Software Architect

2019 - 2021

ADP

Managed a cross-country, 16-member team for the corporate reporting tool integration, bringing more organization and improvements on legacy application components into containerization and microservices with better deployment process automation.
Served as the technical architect and engaged the team in following best practices on componentization for cloud readiness, breaking down monoliths per each integration module, and following microservices decoupling with API-first design.
Oversaw the data streaming system evolution to deliver better orchestration on fast data handling of systems data and metadata and provided architectural design recommendations for developers to achieve the best performance results in data refreshes.
Engaged with the corporate custom reporting application team for lift and shift databases to AWS cloud infrastructure as the first step for application modernization using AWS CloudFormation to handle it as IaC.

Technologies: Python, Database Architecture, Data Architecture, Database Modeling, Database Design, AWS CloudFormation, Amazon Web Services (AWS), ADP, Data Visualization, Data Migration, Databases, Data Engineering, Relational Databases, Oracle PL/SQL, Database Transactions, Git, Docker, Oracle, Apache, Technical Design, Technical Drawing, Amazon DynamoDB, Amazon RDS, AWS Lambda, Data Processing, Data Processing Automation, Microsoft Excel, CSV, Scripting, ETL Tools, Scripting Languages, System Design, Data Modeling, Database Administration (DBA), REST, Data Mining, Database Triggers, Database Optimization, Oracle Database, Data Integration, Amazon S3 (AWS S3), Amazon Athena, Amazon Elastic MapReduce (EMR), Spark, Amazon EKS, Data Warehouse Design, Data Warehousing, Architecture, Server Migration, Data-driven Design, BPM, Scalability, Relational Database Services (RDS), JSON, PL/SQL Tuning, Unix Shell Scripting, GitHub, XML, CI/CD Pipelines, Big Data, Amazon EC2, Data Transformation, Apache Kafka, Redshift, Database Structure, Transactions, Data, Exploratory Data Analysis, Data Science, Networks, SQL Triggers, Oracle DBA, APIs, Amazon CloudWatch, API Design, Infrastructure as Code (IaC), REST APIs, Data Analytics, Dimensional Modeling, Star Schema, Data Reporting, Technical Leadership, Apache Spark, Solutioning, Custom Solutions, Data Feeds, Business Requirements, System Architecture, Data Structures, Software, Software Architecture, Oracle Database Architecture, Scrum, Agile, Product Delivery, Agile Project Management, Business Analysis, Business Intelligence (BI), Reports, System Integration, Amazon Redshift, Data Strategy, Large Data Sets, Parquet, NumPy, API Integration, Dashboards, Bitbucket, Back-end, Java

Data Engineer/DBA and SQL Expert

2015 - 2018

ADP

Optimized very large data reports for enterprise ADP clients, resulting in 99% performance improvement on multiple use cases by rewriting custom-built SQL on demand.
Identified and resolved application query bottlenecks, implementing modifications like indexing, data arrangements, and clean-ups for successful application enhancements rollout.
Performed database administration engagements like cloning, backup, restorations, and data optimization by transposing specific modules to better-suited structures.
Engaged with the corporate custom reporting application team for lift and shift databases to AWS cloud infrastructure as the first step for application modernization using AWS Cloud Formation to handle it as IaC.

Technologies: AWS Cloud Architecture, AWS CloudFormation, Amazon Web Services (AWS), MongoDB, Database Architecture, Database Modeling, Data Architecture, Performance Tuning, Oracle RDBMS, ADP, RDBMS, Data Migration, Databases, Data Engineering, ETL, Relational Databases, Oracle PL/SQL, SQL Stored Procedures, Database Transactions, Windows, Git, Oracle, Apache, Debugging, Shell Scripting, Query Optimization, Technical Design, Technical Drawing, Data Processing, Data Processing Automation, Microsoft Excel, CSV, Scripting, Scripting Languages, Data Modeling, Database Administration (DBA), Database Triggers, Database Optimization, Oracle Database, Data Integration, Architecture, Server Migration, Data-driven Design, BPM, Scalability, Relational Database Services (RDS), PL/SQL Tuning, Unix Shell Scripting, XML, Data Transformation, Database Structure, Transactions, Data, Data Science, ELT, Database Performance, SQL Triggers, Oracle DBA, Data Analytics, Star Schema, Dimensional Modeling, Data Reporting, Performance Optimization, Technical Leadership, Deployment, Performance, SQL Performance, Custom Solutions, Data Structures, Oracle Database Architecture, Reports, Stored Procedure, Data Strategy, Large Data Sets, Data Warehouse Testing, Bitbucket

Lead Data Engineer and Back-end Developer

2009 - 2014

ADP

Led a team of developers in designing and implementing a data and metadata integration process as an entry point for the main reporting application and helped evolve integration handling with version control and automated data sync processes.
Implemented complex Java/Oracle database ticketing interactions to process asynchronous SOAP calls for heavy back-end calculations on external systems.
Oversaw software evolution and team performance evaluation, accommodating more integration partners for the reporting tool integrations, handling multiple data transformations, and handling each use case scope.

Technologies: Database Architecture, PL/SQL, Data Architecture, Java, SQL, Oracle RDBMS, ADP, RDBMS, Data Migration, Databases, Data Engineering, ETL, Relational Databases, Oracle PL/SQL, SQL Stored Procedures, Database Transactions, Windows, Git, Oracle, Apache, Debugging, Shell Scripting, Query Optimization, Technical Design, Technical Drawing, Data Processing, Microsoft Excel, CSV, Scripting, Scripting Languages, Data Modeling, Database Administration (DBA), Database Triggers, Database Optimization, Oracle Database, Data Integration, Data Warehouse Design, Data Warehousing, Architecture, Data-driven Design, BPM, Scalability, PL/SQL Tuning, Unix Shell Scripting, XML, Excel 2016, Data Transformation, Database Structure, Transactions, Data, Exploratory Data Analysis, Data Science, ELT, Database Performance, SQL Triggers, Oracle DBA, Data Reporting, Technical Leadership, SQL Performance, Custom Solutions, Data Feeds, Business Requirements, System Architecture, Data Structures, Software, Software Architecture, Oracle Database Architecture, Reports, System Integration, Erwin, Stored Procedure, Large Data Sets, Data Warehouse Testing, Bitbucket, Back-end

Data Engineer and Back-end Developer

2007 - 2008

ADP

Developed an application to manage the metadata catalog for external systems to be integrated with a reporting system.
Tracked and fixed bugs logged into a clear quest tool for the main system.
Synchronized the application version upgrades along with metadata mapping for external applications integrating version upgrades, dealing with multiple integration scenarios for the reporting application to work successfully.

Technologies: Data Architecture, Database Architecture, Database Modeling, SQL, Oracle RDBMS, ADP, RDBMS, Data Migration, Databases, MySQL, Data Engineering, ETL, Relational Databases, Oracle PL/SQL, SQL Stored Procedures, Database Transactions, Windows, Oracle, Apache, Debugging, Shell Scripting, Technical Drawing, Data Processing, Microsoft Excel, CSV, Scripting, Scripting Languages, Data Modeling, Database Triggers, Oracle Database, Data Integration, Data Warehouse Design, Data Warehousing, PL/SQL Tuning, Unix Shell Scripting, XML, Data Transformation, Transactions, Data, ELT, Database Performance, Custom Solutions, Data Feeds, Business Requirements, Data Structures, Reports, Erwin, Stored Procedure, Large Data Sets

System Analyst | QA

2005 - 2007

ADP

Analyzed the requirements needed by the pre-employment screening system in the development stage and engaged developers in coding properly according to the business rules.
Helped with database definitions and relationships to accommodate proper table structures and relationships.
Contributed to QA activity, helping to capture defects or missing requirements to enhance and evolve the application.

Technologies: PHP, Analysis, Quality Assurance (QA), PL/SQL, Oracle RDBMS, ADP, Oracle PL/SQL, Windows, Oracle, Apache, Perl, Debugging, CSV, Scripting, Scripting Languages, Oracle Database, PL/SQL Tuning, Unix Shell Scripting, Erwin

Developer

1999 - 2005

UNISINOS

Collaborated on building the university website using PHP and scripting for content management.
Built a distance learning environment for university classes using Perl scripting and a PostgreSQL database.
Made a web file storage system for students that enabled their files to be available from everywhere using Perl scripting and server storage management.
Integrated company system of records on PeopleSoft ERP as part of the new structure implementations.

Technologies: Linux, Perl, HTML, PostgreSQL, Apache, JavaScript, PHP, Oracle PL/SQL, Windows, Java, CSV, Scripting, Scripting Languages, Data Mining, Unix Shell Scripting, PeopleSoft, System Integration

Experience

Data Streaming Application

I led the development of a data and metadata streaming pipeline application based on event-driven data generation to achieve near real-time capability on an existing corporate reporting application.

As a result, it automated the dynamic event-driven application in the same pattern as other reporting integrations.

Custom Reporting Application

https://support.adp.com/adp_payroll/content/hybrid/VerA/@runcomplete/doc/pdf/Custom_Reports_How_to_Guide.pdf

I led the metadata integrations for an ad hoc custom reporting application and handled complex data structure translations to properly report from the system of records.

I also enhanced the capability to handle multiple systems of record integrations with version control and deployment script automation.

Crypto Pools Dashboard Analytics

I planned and implemented full data pipeline extractors for lending and borrowing crypto pools, extraction orchestration, and dashboard visualization for finance industry customers.

I delivered a high-quality data extraction application with release version management, full coverage tests, cloud deployment, and dashboard dynamic view.

Pattern Data Extraction Modules

I analyzed and implemented data extraction modules for 10 specific social media data inputs, transforming all sources into a single pattern for time analysis.

I also handed over testable modules to be loaded into a larger framework for mass data extractions for further pattern-finding analysis.

Crypto Wallet Risk Full Back-end Service

https://www.webacy.com/

I planned and developed a full database design and back-end application from scratch deployed in AWS with IaC to extract crypto wallet risk data from different sources and deliver it as a REST API for customers.

I also added another revenue stream from API pricing offerings.

Analytics Data Pipeline Revamp

I was onboarded with a mission to adjust legacy data sources by taking more than 470 databases in conformance and organizing data flow infrastructure with IaC.

I completed database adjustments and enabled data replication to the target data warehouse with a 15-minute latency, overcoming previous replication nightly jobs.

Education

2012 - 2013

Master of Business Administration Degree in Strategic Leadership

The Superior School of Advertising and Marketing (ESPM) - Porto Alegre, Rio Grande do Sul, Brazil

1994 - 2004

Bachelor of Science Degree in Computer Science

The University of the Sinos Valley (UNISINOS) - São Leopoldo, Rio Grande do Sul, Brazil

Certifications

JANUARY 2025 - PRESENT

The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero

Udemy

JANUARY 2025 - PRESENT

ClickHouse – A Fast Open-source OLAP DBMS

Udemy

DECEMBER 2024 - DECEMBER 2027

AWS Certified Data Engineer

Amazon Web Services

AUGUST 2024 - PRESENT

Dbt: Crie e Execute Pipelines de Engenharia de Dados

Udemy

JULY 2024 - PRESENT

Machine Learning A-Z: Al, Python & R + ChatGPT

Udemy

MAY 2024 - PRESENT

HIPAA Training

Proofpoint, Inc.

JULY 2023 - PRESENT

Formação Data Warehouse com Redshift, BigQuery e SnowFlake

Udemy

OCTOBER 2022 - PRESENT

Build a Secure Data Lake in AWS using AWS Lake Formation

Udemy

AUGUST 2022 - PRESENT

Certified Blockchain Expert

Blockchain Council

FEBRUARY 2022 - PRESENT

Ethereum and Solidity — The Complete Developers Guide

Udemy

JUNE 2021 - PRESENT

The Complete Node.js Developer Course (Third Edition)

Udemy

AUGUST 2015 - PRESENT

Oracle Database 12c: Install & Administration

Oracle University

SEPTEMBER 2014 - PRESENT

Agile Project Management (Scrum)

ADP In-house

Skills

Libraries/APIs

Pandas, REST APIs, Node.js, NumPy, SQLAlchemy, Web3.js

Tools

Microsoft Excel, GitHub, Excel 2016, Bitbucket, Git, Apache Airflow, Amazon Athena, Amazon CloudWatch, Sqitch, Jenkins, Apache, Erwin, AWS CloudFormation, AWS Glue, Retool, Notion, Amazon Elastic MapReduce (EMR), Amazon EKS, AWS IAM, Amazon Virtual Private Cloud (VPC), BigQuery, Terraform, dbt Cloud, Prisma, AWS Cloud Development Kit (CDK), Amazon Elastic Container Service (ECS), AWS Step Functions, Amazon Simple Queue Service (SQS), Grafana, Google Sheets, Amazon Elastic Container Registry (ECR), Tableau

Languages

SQL, Python, TypeScript, XML, HTML, JavaScript, Snowflake, PHP, Java, Perl, Stored Procedure, Solidity, GraphQL, ECMAScript (ES6)

Paradigms

ETL, Database Design, Data-driven Design, Scrum, Agile, Agile Project Management, Business Intelligence (BI), DevOps, REST, Microservices, Management, Good Clinical Practice (GCP), Dimensional Modeling, HIPAA Compliance, Oracle Database Architecture

Platforms

Linux, Docker, Oracle, Amazon Web Services (AWS), Windows, Blockchain, Google Cloud Platform (GCP), Amazon EC2, Oracle Database, Ethereum, AWS Lambda, Blockchain Platforms, Apache Kafka, Kubernetes

Storage

Oracle PL/SQL, PostgreSQL, Database Modeling, Database Transactions, Relational Databases, SQL Stored Procedures, Oracle RDBMS, Databases, Database Architecture, SQL Performance, Data Integration, Amazon S3 (AWS S3), RDBMS, JSON, Database Structure, Database Performance, SQL Triggers, Oracle DBA, MySQL, Database Triggers, Amazon Aurora, API Databases, Redis, Data Lakes, MongoDB, PL/SQL, Database Administration (DBA), Amazon DynamoDB, Data Pipelines, NoSQL, Redshift, InfluxDB, ClickHouse

Frameworks

Flask, Spark, Apache Spark

Other

Shell Scripting, Data Engineering, Query Optimization, Debugging, Data Analysis, Data Modeling, Data Architecture, APIs, Data Processing, Scripting, ADP, Data Migration, ETL Tools, Scripting Languages, Data Warehouse Design, Data Warehousing, Architecture, Relational Database Services (RDS), PL/SQL Tuning, Unix Shell Scripting, CI/CD Pipelines, Data Transformation, Transactions, Data, ELT, API Design, Slack App, Performance Optimization, Technical Leadership, Performance, Deployment, Solutioning, Custom Solutions, Data Feeds, Business Requirements, System Architecture, Data Structures, Software, Software Architecture, Product Delivery, Business Analysis, Reports, Large Data Sets, API Integration, Back-end, Technical Design, Technical Drawing, Database Optimization, IT Business Analysis, Ethers.js, Amazon RDS, Data Processing Automation, CSV, System Design, Server Migration, BPM, Scalability, Big Data, Message Queues, Exploratory Data Analysis, Data Science, Networks, Web Scraping, Data Build Tool (dbt), Crypto, Serverless, Supabase, GitHub Actions, Data Analytics, Data Warehouse Testing, Data Scraping, Dashboards, Data Mining, Quality Assurance (QA), Analysis, Performance Tuning, AWS Cloud Architecture, Leadership, Business, Data Visualization, AWS Lake Formation, Statistics, Google BigQuery, Telemetry, Big Data Architecture, Infrastructure as Code (IaC), Cryptocurrency, Pulumi, Fivetran, ECS, OpenID Connect (OIDC), Star Schema, Data Reporting, Reliability, CTO, HIPAA Electronic Data Interchange (EDI), Amazon Kinesis, Amazon Managed Workflows for Apache Airflow (MWAA), AWS Secrets Manager, PeopleSoft, System Integration, Machine Learning, Artificial Intelligence (AI), Amazon Redshift, Data Strategy, Parquet, Dagster

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