At UnifyCX, I manage and enhance production ETL pipelines that move data from source systems into analytics-ready Snowflake warehouse layers. I implemented CDC-based incremental processing across staging and warehouse layers, using MERGE/upsert patterns to maintain target tables efficiently and keep downstream data consistent.
At eClerx, I developed Python- and Bash-based automation and SQL workflows to transform raw data into structured datasets. I also built a cryptocurrency market data pipeline with PySpark to process external API data into a Databricks warehouse, with incremental ingestion and partitioning for analytics-ready datasets.
