Looking for a job

Gajanan Borse

@gajananborse

Message

I build AWS lakehouse pipelines that accelerate analytics and strengthen governed data delivery.

India

Message

What I'm looking for

I'm looking to lead and build scalable, governed cloud data platforms, using AWS, Databricks, Spark, Python, and SQL to deliver reliable analytics for complex enterprise data.

At Persistent Systems, I migrate multi-terabyte aviation data into AWS Databricks and Delta Lake, turning two-day batch processing into hourly PySpark workflows. I also built governed S3 lake zones processing 15M+ daily records and improved query performance by 60% for 500+ concurrent users.

Previously at ALTEN, I led a 50M+ MongoDB-record warehouse migration, designed a 15-dimension and 3-fact star schema, and reduced SQL execution time by 70% while lowering cloud costs by 35%.

I build production data pipelines with AWS, Databricks, Spark, Python, SQL, Airflow, Snowflake, and dbt, with a focus on data quality, security, lineage, and reliable delivery.

Experience

Work history, roles, and key accomplishments

Current

Engineering Lead

Current

Persistent Systems

Mar 2026 - Present (5 months)

Spearheaded migration of multi-terabyte aviation data to AWS Databricks, re-engineering legacy ETL into distributed PySpark workflows and cutting batch runtimes from 2 days to hourly. Architected governed Delta Lake environment with ACID compliance, processing 15M+ daily records and boosting query performance by 60%.

AWS Databricks Apache Spark PySpark Delta Lake S3 Glue Lambda Lake Formation Airflow Python SQL Data Quality Data Governance

Data Engineer

ALTEN (formerly EGS)

Aug 2022 - Jan 2026 (3 years 5 months)

Led migration of 50M+ MongoDB records to cloud data warehouse, designing star schema and optimizing 200+ SQL queries, cutting execution time by 70% and cloud costs by 35%. Developed batch ingestion workflows processing 100GB+/day using CDC incremental loading for 20+ data marts.