Senior ETL developer with experience in analysis, design, development, implementation, testing and support of Data Warehousing and Data Integration solutions. Proficiency in developing SQL with various relational databases like Snowflake, Oracle, SQL Server. Experience working with Cloud Solutions like Azure and AWS.
Results-driven data engineering professional with solid foundation in designing and maintaining scalable data systems. Expertise in developing efficient ETL processes and ensuring data accuracy, contributing to impactful business insights. Known for strong collaborative skills and ability to adapt to dynamic project requirements, delivering reliable and timely solutions.
Overview
2026
2026
years of professional experience
4
4
years of post-secondary education
Work History
ETL Data engineer
US automotive company
- Current
Working as an ETL data engineer with SQL/Snowflake
Azure Data Factory implementation
ETL job orchestration using Redwood RMJ
Constant support to the pipelines
Agile methodologies used during the whole project
Migration to Apache Airflow
Technical Environment: Snowflake, Azure data factory, Redwood RMJ, Airflow
Snowflake Data Lead / Engineer
US Mining company
Working as an ETL data engineer with Snowflake
Azure integration
Team Lead for a Snowflake IoT (sensor) live stream project
Migration of ETL jobs into Snowflake logic
ETL logic implementation using snow pipe, external stages, tasks, etc
Reduced the auto clustering cost of the company by 80%
Constant support to the pipes and streams
Constant integration with Power BI users
Agile methodologies used during the whole project
Usage of PISQL and PI explorer for sensor hierarchy
Gathered and analyzed the requirements of the in-house business users for the data warehousing
Designed staging and error handling tables keeping in view the overall ETL strategy
Develop, test, analyze, upgrade, and maintain data models and processes in an ETL environment using DataStage 11.5
Application migration from DataStage 11.5 to 11.7
Developed ETL programs using Data stage to implement the business requirements
Created shell scripts to fine tune the ETL flow of the DataStage workflows
Reviewed and analyzed functional requirements, mapping documents, problem solving and trouble shooting
Hands on experience with Cloud Solutions (AWS)
Agile methodologies used during the whole project
Technical Environment: DataStage 11.5/11.7, AWS (s3, athena, lambda), Snowflake, Oracle DB, Unix, Control M
ETL senior developer
Financial services group of companies
Company Overview: offering banking, investing, and insurance to people and families who serve, or served, in the United States Armed Forces
Created DataStage jobs using different stages like Transformer, Aggregator, Sort, Join, Merge, Lookup, Data Set, Funnel, Remove Duplicates, Copy, Modify, Filter, Change Data Capture, Change Apply, Sample, Surrogate Key, Column Generator, Row Generator, Etc
Used the Data Stage Director and its run-time engine to schedule running the solution, testing and debugging its components, and monitoring the resulting executable versions on ad hoc or scheduled basis
Creation of jobs sequences
Maintained Data Warehouse by loading dimensions and facts as part of project
Created shell script to run data stage jobs from UNIX and then schedule this script to run data stage jobs through scheduling tool (Control M)
Worked with Agile Methodologies, having daily scrum calls (Daily Stand ups)
Documented ETL test plans, test cases, test scripts, and validations based on design specifications for unit testing, system testing, functional testing, prepared test data for testing, error handling and analysis
Implemented slowly changing dimension methodology for accessing the full history of accounts
Work with Architects to create meaningful requirements for Data Warehouse ETL development
Offering banking, investing, and insurance to people and families who serve, or served, in the United States Armed Forces
Technical Environment: DataStage 11.3, Informatica Power Center, Control M, Unix shell script, Netezza, Oracle, RTC, Agile, Business Objects, Apache Hive
Asistente De Investigador at Centro De Investigación Y De Estudios Avanzados Del Instituto Politécnico NacionalAsistente De Investigador at Centro De Investigación Y De Estudios Avanzados Del Instituto Politécnico Nacional