Jorge Andres Robiola
Verified Expert in Engineering
Data Engineer and Developer
Miami, FL, United States
Toptal member since November 7, 2023
Jorge is a senior data engineer and architect with vast expertise in cloud back-end systems. He has consistently focused on designing data mesh solutions to save costs and improve execution performance, incorporating automation technologies and advanced AI techniques. In addition, Jorge has a proven track record as a project manager dedicated to infrastructure and software engineering endeavors.
Portfolio
Experience
- Data Analysis - 10 years
- Spark - 7 years
- Python - 7 years
- PySpark - 7 years
- Python 3 - 7 years
- Snowflake - 5 years
- Delta Lake - 2 years
- Artificial Intelligence (AI) - 1 year
Availability
Preferred Environment
IT Systems Engineering
The most amazing...
...project I've worked on is the successful migration of an IT database support service for 84 countries to a single global delivery center.
Work Experience
Data Engineer
Entrustody
- Integrated subscriptions and customer workspaces into a single consolidated data mesh in Azure.
- Supported an existing data lake model installed on Microsoft Azure.
- Migrated data-driven models to Fabric, supported data warehouse pipelines, and collaborated with real-time applications.
Data Engineer
EY
- Applied different Databricks techniques to re-design data warehousing models, saving costs in the cloud and improving the data ingestion performance.
- Implemented new data mesh systems using cloud-based data-driven tools.
- Started a project to implement AI for a large language model (LLM) to identify privacy text included in audit documents.
Senior Data Engineer
Newsweek
- Saved costs in the data-driven process using materialized views in Azure's dedicated pool and delta lake architecture.
- Built connected machine learning models to monetarize subscribers, identifying pattern behaviors.
- Performed data-driven orchestration among cloud environments, including Azure and Google Cloud Platform (GCP), to build a robust analysis of subscribers.
Data Engineer and DevOps Developer
Enve
- Incorporated a cloud data platform to an existing AWS architecture for data ingestion and final storage into massively parallel processing environments.
- Worked with cloud-based providers, including Snowflake, Databricks, and Redshift, to migrate on-premise data warehouse platforms into AWS and Azure.
- Introduced fundamental automation tools to create an infrastructure as code (IaC) environment in AWS using HashiCorp tools.
Data Engineer and BI Analyst
PayPal
- Collaborated with the analytics payment checkout department to identify, analyze, and generate data pipelines to create a root-cause analysis for errors within web and mobile tools.
- Leveraged Google Cloud Platform (GCP), BigQuery, Google Cloud Functions, and Apache Airflow to collect data from an HDFS ecosystem and load a data warehouse model connected to payroll.
- Maintained a complex Tableau reporting platform to visualize the analysis performed on BigQuery.
Data Engineer and BI Architect
TradeHelm, Inc.
- Provided services for Hightower Advisors, an RIA enterprise located in Chicago.
- Maintained an existing data warehouse system mounted in an SQL Server environment and migrated it to a cloud platform located in AWS.
- Leveraged Snowflake as the final data warehouse system for this project, with the ongoing objective of creating pipelines and re-designing the data architecture model based on the new standards.
Data Engineer and BI Analyst
ProKarma
- Replaced a data warehouse model stored in Relational Database Services (RDS) and PostgreSQL with the Hadoop ecosystem based on Apache Hive and Impala.
- Analyzed the data consumed from Apache Hive, compared the values against PostgreSQL, and loaded the data into Hadoop, replacing the data sources in the Tableau server.
- Adjusted the Tableau dashboards and sheets after replacing PostgreSQL with Hadoop and Impala.
Data Engineer and BI Architect
Zenfolio
- Worked on a financial data warehouse and reporting platform, creating a common repository to extract and transform the information coming from different sources.
- Loaded the final Snowflake schema model into a visualization tool, creating different marketing and financial reports refreshed incrementally throughout an automated ETL process.
- Built the final data warehouse in an Amazon RDS cloud environment, while the visualization platform was constructed in Sisense ElastiCube.
Data Engineer and BI Team Leader
Lighthouse Investment Partners
- Built a flexible ETL platform to integrate information from various risk management applications, including Axioma, Thomson Reuters, Beta, Barra, and SunGard. The platform shows principal statistics in an efficient reporting tool.
- Started work on analytic scripts created initially in RStudio. The output information had to be automated and integrated into the existing data warehouse model.
- Joined the data science team to create complex machine learning models to identify patterns in the stock exchange transactions and load the data into a data warehouse system, keeping required runtimes.
Data Engineer and BI Developer
Kestra Financial
- Created an ETL process and database design to integrate different CRM and financial management applications.
- Updated the existing reporting platform and analyzed a potential migration to Microsoft Power BI tools mounted on a cloud environment.
- Integrated different financial platforms into a consolidated data warehouse system.
Experience
IBM and Novartis Migration Project
Education
Bachelor's Degree in Information Technology
Interamerican Open University (UAI) - Buenos Aires, Argentina
Certifications
Data Engineering with Databricks
Databricks
Containers & Kubernetes Essentials
IBM
Microsoft Certified: Azure Fundamentals
Microsoft
AWS Certified Cloud Practitioner
Amazon Web Services
Big Data Hadoop and Spark Developer
Simplilearn
Python for Data Science
IBM
Machine Learning with Python
cognitiveclass IBM
Data Analysis with Python
IBM
Scrum Grand Master
National Technological University (UTN)
Information Technology Infrastructure Library (ITIL) Foundations V3
EXIN
Project Management Professional (PMP)
Project Management Institute
Microsoft Certified Professional (MCP)
Microsoft
Skills
Libraries/APIs
PySpark, Amazon EC2 API, REST APIs, Fabric
Tools
Tableau, BigQuery, Postman, Microsoft Power BI, Azure Kubernetes Service (AKS), Synapse, AWS Glue, Apache Airflow, Grafana, Terraform, Packer, Azure Logic Apps, Ansible, Vagrant, HashiCorp, Jira, AWS IAM, Amazon Virtual Private Cloud (VPC), Apache Impala, Docker Swarm, Cloudera
Languages
SQL, Python 3, Python, Scala, Snowflake, C#
Storage
Azure SQL Databases, SQL Server Integration Services (SSIS), Microsoft SQL Server, PostgreSQL, Data Integration, Amazon Aurora, Azure SQL, Neo4j, Azure Cosmos DB, MongoDB, Amazon DynamoDB, Redis, Redshift, Datadog, Amazon S3 (AWS S3), HDFS, Apache Hive
Frameworks
Spark, Hadoop
Platforms
Databricks, Azure Synapse, Azure Functions, Azure, Kubernetes, AWS Lambda, Google Cloud Platform (GCP), Amazon Web Services (AWS), Docker, RStudio, Amazon EC2, Microsoft
Industry Expertise
Banking & Finance, Project Management
Paradigms
ETL, ITIL
Other
Data Analysis, Data Engineering, Data Analytics, IT Systems Engineering, Programming, Azure Databricks, Delta Lake, Scrum Master, IT Project Management, Google BigQuery, Analytical Thinking, Relational Database Services (RDS), Financial Risk Management, Finance, Investment Funds, Azure Data Factory (ADF), Azure VDI, Applications, Large Language Models (LLMs), Supervised Machine Learning, APIs, IT Management, Machine Learning, Data Science, ITIL V3 Foundation Certified, Artificial Intelligence (AI), Azure Data Lake, Data Warehousing, Microsoft Azure, Document Management Systems (DMS), Containers, Blob Storage, Virtual Machines, AWS DevOps, Tableau Server, CRM Implementation (Salesforce), Amazon Redshift, Sisense ElastiCube, Amazon RDS, Information Technology, Systems Analysis, Infrastructure as Code (IaC), Google Cloud Functions, Parallels Business Automation
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