Aditya Bhattad

AWS Certified Data Engineer Associate with 8 years of experience building scalable ETL pipelines, enterprise data platforms, and cloud-based analytics solutions leveraging Python-based data engineering frameworks, Palantir Foundry, and AWS cloud services. Strong expertise in data ingestion, transformation, migration, and reporting workflows for large-scale enterprise systems and Enterprise Data Lake environments. Proven experience leading legacy modernization initiatives involving DB2, COBOL, and SAS workloads, transforming traditional mainframe-based systems into scalable cloud-native data platforms supporting enterprise analytics and operational reporting.

Skilled in enterprise data migration, distributed data processing, data quality engineering, and modernization of legacy data platforms.

Senior Software Engineer II at John Deere Pvt Ltd (2025-03 – Present)

• Led the data engineering design and architecture for the John Deere Protect platform by designing 50+ PostgreSQL relational tables and implementing automated schema versioning using Flyway to support scalable enterprise data operations.
• Led end-to-end migration of legacy DB2 datasets to PostgreSQL on AWS RDS using Python and Palantir Foundry ETL pipelines, modernizing critical enterprise data workflows and improving data accessibility for downstream analytics systems.
• Integrated and enriched large-scale enterprise datasets from Enterprise Data Lake (EDL), implementing profiling, cleansing, deduplication, and data quality validation processes to improve reporting accuracy and operational reliability.
• Improved database performance and production stability through query optimization, indexing strategies, and proactive monitoring, reducing operational issues and improving system reliability for enterprise users.
• Acted as the primary data engineering lead for modernization initiatives, collaborating with cross-functional agile teams to transform legacy systems into scalable enterprise data platforms.

Senior Software Engineer at Yash Technologies (2022-06 – 2025-03)

• Built enterprise data migration and ETL pipelines using Python, Palantir Foundry, and AWS services to modernize DB2-based workloads into Enterprise Data Lake and cloud-based data platforms.
• Developed scalable reporting and analytics workflows using Python, PowerBI, and cloud-native data processing frameworks, improving enterprise reporting efficiency and operational scalability.
• Modernized legacy COBOL and SAS batch workloads into Python-based processing services, improving maintainability, scalability, and operational reliability.
• Supported cloud infrastructure and modernization initiatives using AWS services including EC2, Lambda, and RDS.
• Mentored team members on enterprise modernization, data engineering best practices, and cloud-based data workflows.

Associate Consultant at Capgemini (2021-05 – 2022-06)

• Developed and enhanced enterprise COBOL-DB2 applications supporting financial transaction processing and large-scale data workflows involving XML, PAYMUL, and MT103 data formats.
• Improved enterprise ETL and data transformation processes using WebSphere Transformation Extender (WTX), increasing data processing accuracy and operational efficiency.
• Supported data validation, batch processing, deployment, and production support activities across enterprise financial systems.

Software Engineer at Atos Syntel Pvt Ltd (2018-06 – 2021-05)

• Developed and optimized COBOL-DB2 applications supporting enterprise financial data processing and batch workflow operations.
• Enhanced batch processing workflows and system integrations, improving execution efficiency and operational reliability for large-scale enterprise datasets.
• Analyzed legacy systems, prepared technical documentation, and supported modernization initiatives for enterprise data and processing platforms.

Bachelor of Engineering (B.E.) in Computer Science – Pune University (2018)