Open to opportunities

Harvey Frederick

@harveyfrederick

Message

Results-driven data engineer building scalable ETL/ELT on Python, SQL, and AWS serverless.

Philippines

Message

What I'm looking for

I’m looking for a team where I can engineer scalable ETL/ELT pipelines, strengthen data validation and governance, and deliver reliable, self-service-ready datasets—built with AWS, Python, and SQL—to support real enterprise analytics.

I’m a results-driven Data Engineer specializing in Python, SQL, and AWS serverless technologies (Glue, PySpark, Athena). I design scalable ETL/ELT pipelines, implement dynamic data validation logic, and build consumption frameworks that improve data accessibility and accuracy across enterprise teams.

In my current role, I engineered automated ETL for unstructured log transformation using AWS Glue, Amazon S3, and Athena for daily visualization. I also built core data pipelines for a Unified Data Platform (UDP) MVP, established reusable validation checks for health monitoring, integrated governance via AWS Lake Formation and Glue Data Catalog, and developed a Medallion Architecture (Bronze–Silver–Gold) to strengthen lineage and data quality.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Stratpoint Global Outsourcing

Feb 2025 - Present (1 year 5 months)

Built automated ETL/ELT pipelines using AWS Glue, S3, and Athena to transform log files into structured datasets for daily visualization. Developed unified data platform pipelines (including Glue jobs, validation checks, and Lake Formation/Glue Data Catalog integration) and implemented a Medallion (Bronze–Silver–Gold) data lake architecture to improve quality and lineage.