Giovani Santiago, Developer in Las Vegas, NV, United States
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Giovani Santiago

Verified Expert  in Engineering

Bio

Giovani is an experienced data professional with extensive expertise in data systems such as SQL Server, PostgreSQL, MySQL, and DB2. He is also very familiar with the Microsoft BI stack including SSRS, SSIS, SSAS, Power BI, Azure DW, and Azure DB. He also has AWS experience including RDS, Aurora, DynamoDB, S3, EC2, CloudFormation, Lambda Functions, Step Functions, and VPC set up. He communicates very well and has worked in teams of all sizes.

Portfolio

Planview, Inc.
Amazon Web Services (AWS), Python, Oracle, Microsoft SQL Server, PostgreSQL...
Boyd Gaming
DataWare, Microsoft SQL Server, DB, Azure, Data Pipelines...
R5 Ensino Professional
SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS)...

Experience

SQL Management Studio - 6 yearsSQL - 6 yearsPython - 5 yearsPostgreSQL - 5 yearsAmazon EC2 - 2 yearsAWS Database Migration Service (DMS) - 1 yearAWS Step Functions - 1 yearAWS Lambda - 1 year

Availability

Part-time

Preferred Environment

Visual Studio Code (VS Code)

The most amazing...

...thing I've coded is a script that saved a company team hundreds of hours of work.

Work Experience

Data Operations Engineer

2017 - PRESENT
Planview, Inc.
  • Migrated dozens of database servers from Oracle running on VMs to Amazon Aurora PostgreSQL.
  • Created step functions and lambda functions to perform database backup tasks.
  • Utilized Python with lambda functions to perform various AWS tasks via the Boto3 library.
  • Created and monitor RDS instances.
  • Implemented a region-wide disaster recovery strategy that copies RDS data over to the DR region.
Technologies: Amazon Web Services (AWS), Python, Oracle, Microsoft SQL Server, PostgreSQL, AWS Step Functions, Lambda Functions, Amazon Aurora, Relational Database Services (RDS)

Enterprise Data Architect

2015 - 2017
Boyd Gaming
  • Built an Azure SQL and Power BI POC that was successful. On-prem data would be refreshed nightly into an Azure SQL database, and users could analyze the data via Power BI. The work was widely praised.
  • Built pipelines in Azure Data Factory with the data management gateway to transfer on-prem transactional flat files from into Azure storage. Polybase was used to read the transferred data from Azure blob storage into Azure SQL data warehouse tables.
  • Successfully built an ETL solution to have a new visualization tool consume data from properties running different systems under one data schema.
Technologies: DataWare, Microsoft SQL Server, DB, Azure, Data Pipelines, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), ETL

SSRS, PHP, and MySQL Developer

2013 - 2014
R5 Ensino Professional
  • Optimized tools used to put together the company product (teaching software). Discovered and implemented better components.
  • Created an output file for an already existing mouse macro program that automated the image upload process.
  • Created a PHP script to manipulate a Delphi file to extract and save a new file with the component position, a process that would have taken several months by hand.
  • Maintained a client panel with PHP, JavaScript, and MySQL.
  • Created internal reports utilizing SSRS and JavaScript chart libraries.
Technologies: SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), MySQL, Microsoft SQL Server, Delphi

Data Warehouse Analyst

2011 - 2013
Western Funding, Inc.
  • Created a portal for branch managers to help rank clients at the click of a button, an improvement over the hour-long process that was previously required.
  • Created a reporting book used at every shareholder meeting to show gains/losses across all departments.
  • Supported an ETL process taking data from a 32-bit server into a 64-bit server.
Technologies: Microsoft SQL Server

Lambda Function Terminating EC2 Instances

The lambda function plays a crucial role in the AWS Step Functions workflow by terminating EC2 instances based on their instance name. Within the workflow, an EC2 instance is initially launched to carry out various tasks. Once these tasks are completed, the script is triggered to terminate the EC2 instance. The custom Amazon Machine Image (AMI) is utilized, enabling the workflow to launch a new instance from the AMI. This approach eliminates the need to pay for Amazon Elastic Block Store (EBS) storage between workflow executions.

Libraries/APIs

jQuery

Tools

SQL Management Studio, AWS Key Management Service (KMS), Tableau, AWS Step Functions, Boto 3, AWS CLI, Amazon Virtual Private Cloud (VPC), Microsoft Visual Studio, AWS IAM, AWS CloudFormation, Amazon Simple Notification Service (SNS)

Languages

SQL, Python, Delphi

Paradigms

ETL, Database Development

Storage

Databases, SQL Server 2008 R2, SQL Server 2012, SQL Server 2014, Amazon S3 (AWS S3), Amazon Aurora, PostgreSQL, Amazon DynamoDB, SQL Server 2016, Microsoft SQL Server, MySQL, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), Data Pipelines, DB, DataWare

Platforms

Amazon EC2, AWS Lambda, Oracle, Visual Studio Code (VS Code), Azure, Amazon Web Services (AWS)

Other

Offshore Development, Software Development, AWS Database Migration Service (DMS), Relational Database Services (RDS), Lambda Functions, AWS Polly

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