Abhishek Kulkarni
Bangalore
Summary
Results-driven Data Engineer with 5+ years of experience in designing, building, and optimizing scalable data pipelines and cloud-based data platforms. Strong expertise in Python, SQL, Apache Spark, and Databricks, with hands-on experience across AWS and Azure environments. Proven ability to handle batch and real-time data ingestion, implement robust ETL/ ELT workflows, and deliver high-quality, analytics-ready datasets. Experienced in data modeling, performance tuning, data security, and governance, with a strong focus on enabling data-driven business decisions.
Overview
6
6
years of professional experience
Work History
Data Engineer
GLENEAGLES HEALTHCARE INDIA PRIVATE LIMITED
01.2025 - Current
Data Engineer
TCS
03.2022 - 01.2025
- Designed and implemented scalable ETL/ ELT pipelines using Python, SQL, Spark, and Airflow for ingesting transactional and behavioral data.
- Migrated data from on-premise databases and Hadoop to cloud data warehouses such as Snowflake/ Redshift/ BigQuery.
- Developed data models using star and snowflake schemas to support reporting and analytics use cases.
- Implemented real-time data ingestion using Kafka for order and user activity events.
- Ensured data quality through validation checks, reconciliation, and automated monitoring.
- Optimized query performance and reduced data processing cost through partitioning and indexing strategies.
- Worked closely with BI and analytics teams to enable dashboards in Power BI/ Tableau.
- Implemented security controls including IAM, role-based access, and data masking for sensitive customer data.
- Used Git and CI/ CD pipelines for version control and automated deployment of data pipelines.
Junior Technical Consultant (Data Engineer)
FOIWE INFO GLOBAL SOLUTIONS PRIVATE LIMITED
03.2020 - 04.2021
- Designed and developed scalable ETL/ ELT pipelines using Python, SQL, Spark, and Airflow for ingesting POS, inventory, and supplier data.
- Built and optimized data models using star and snowflake schemas for sales, product, store, and customer analytics.
- Implemented near real-time data ingestion using Kafka for transaction and inventory events.
- Migrated data from on-premise databases and Hadoop to cloud data warehouses such as Snowflake/ Redshift/ BigQuery.
- Applied data quality checks, reconciliation, and monitoring to ensure accuracy and consistency of sales and inventory data.
- Optimized query performance through partitioning and indexing, improving report performance and reducing processing cost.
- Implemented security and access controls using IAM and role-based permissions for sensitive business data.
- Collaborated with BI teams to enable dashboards and reports in Power BI/ Tableau for sales, supply chain, and customer insights.
- Set up CI/ CD pipelines and Git-based version control for automated deployment of data pipelines.
Education
BE - Civil
Dr Bheem Rao Ambedkar university
01.2015
Skills
- Python
- Pandas
- SQL
- PySpark
- Data Analysis
- Data Modeling
- Data Ingestion
- Data Pipeline
- ETL
- Agile
- CI/ CD
- Jenkins
- Power BI
- Tableau
- Microsoft Azure
- Azure Data Factory
- Azure Databricks
- Azure SQL Database
- Azure Synapse
- Data Lakes
- Data Warehousing
- Apache Spark
- Spark SQL
- Effective Communication
- Determination
- Flexibility
- Customer Focus
- Data Security
- Data Governance
- Data Quality
Personal Information
Title: Data Engineer
Timeline
Data Engineer
GLENEAGLES HEALTHCARE INDIA PRIVATE LIMITED
01.2025 - Current
Data Engineer
TCS
03.2022 - 01.2025
Junior Technical Consultant (Data Engineer)
FOIWE INFO GLOBAL SOLUTIONS PRIVATE LIMITED
03.2020 - 04.2021
BE - Civil
Dr Bheem Rao Ambedkar university