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Tushar Saxena

@tusharsaxena

Message

Data Engineer building production-grade Databricks lakehouse ETL/ELT pipelines on Azure with PySpark optimization.

India

Message

What I'm looking for

I’m looking to build reliable, cost-efficient production ETL/ELT systems using Databricks lakehouse tooling and orchestration—where I can keep optimizing pipelines, data quality, and performance across Azure-based integrations.

I architect medallion-based SOT pipelines at Genpact, ingesting from Azure, Salesforce, SAP, Oracle, and ServiceNow into Bronze, consolidating and cleansing into Silver, and delivering incremental daily Gold-layer updates orchestrated with a custom Airflow DAG.

I’ve improved reliability and cost by embedding automated data quality checks into Delta Live Tables and tuning Spark partitioning, cluster sizing, and job scheduling to cut latency 25–35% and reduce compute cost—while also supporting Tableau dashboards used across the organization.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Genpact

Aug 2024 - Present (2 years)

Architected a medallion-based SOT pipeline ingesting data from multiple source systems into Bronze, consolidating in Silver, and serving incremental daily Gold-layer updates orchestrated via Airflow DAG. Cut pipeline failure rate by 30% with automated data quality checks and reduced Spark job latency by 25-35% through tuning.

Databricks Delta Lake Delta Live Tables Unity Catalog Airflow Azure Salesforce SAP Oracle ServiceNow Tableau PySpark SQL Data Quality Cost Optimization

Python / Data Engineer

VertexPlus Technologies Ltd

Jan 2023 - Apr 2024 (1 year 3 months)

Designed a Python-based Outlook-to-Excel automation pipeline that replaced manual data entry, cutting processing time by 50%. Built two internal Django tools for HR team, removing manual tracking work.

Python Django Excel Automation