Apurv Golatgaonkar

I’m a Data Engineer with 4+ years of experience building scalable ETL pipelines and data workflows across Azure and GCP. I focus on reliable ingestion, transformation, validation, migration, and automation, with experience supporting Finance and E-Commerce data needs.

At Equifax, I transformed legacy credit bureau data into Azure cloud using Azure Data Factory and Databricks. I designed end-to-end ETL pipelines to ingest and transform source data into ADLS Gen2 in Delta and Parquet formats for analytics, and I optimized SQL and PySpark logic to improve performance and reduce execution time by 50%.

I also drive data quality by running EDA and validation checks to identify inconsistencies and gaps. From there, I monitor, troubleshoot, and debug ETL pipelines and batch jobs—minimizing downtime and reducing job failure rates by 30%—while collaborating with cross-functional teams to gather requirements and improve delivery efficiency by 20%.

Earlier at Growsoft, I designed and maintained ETL pipelines for high-volume e-commerce data into a centralized analytics warehouse. I built SSIS packages for extraction and migration (improving ETL efficiency by 25%), automated cleaning/validation/transformation with Python and PySpark (reducing manual effort and processing time by 40%), and integrated multiple sources into Google BigQuery.