Ajinkya Mungase

• Architected enterprise-scale ETL pipelines using Ab Initio on AWS, enabling high-volume data processing into Amazon Redshift and improving ML feature availability while reducing data latency by 30%.

• Designed and implemented a centralized ML Feature Store architecture, enabling reusable features across data science teams and eliminating training-serving skew in production machine learning models.

• Led end-to-end data engineering architecture and solution design, including requirement analysis, HLD, LLD, and implementation strategy, ensuring alignment with enterprise data platform objectives.

• Developed high-performance Ab Initio graphs, PSETs, and Conduct-It plans, facilitating complex transformations and large-scale batch processing for multi-source enterprise data ingestion pipelines.

• Implemented CI/CD pipelines using Jenkins, Liquibase, and GitHub, reducing ETL deployment time by 40% and enabling automated build, testing, and release management.

• Designed scalable data ingestion frameworks integrating Appian workflows and enterprise data systems to support Risk Transfer Optimization (RTO) programs and downstream analytics platforms.

• Collaborated with product owners, data scientists, and enterprise architects, translating business requirements into scalable data pipelines and analytics-ready data solutions, enhancing cross-functional data utilization.

• Developed enterprise-scale ETL pipelines using Ab Initio and Oracle, supporting telecom revenue accounting transformation aligned with IFRS15 regulatory compliance requirements.

• Designed and implemented data integration workflows to ingest, enrich, and transform telecom contract data, enabling centralized financial reporting and improved data consistency across systems.

• Built high-performance Ab Initio graphs based on complex source-to-target mappings, ensuring accurate processing of financial transaction data and regulatory reporting datasets.

• Automated batch workflow orchestration using IBM Tivoli Work Scheduler, improving reliability and scheduling efficiency of mission-critical data processing pipelines.

• Engaged directly with onsite business stakeholders and client teams to gather requirements and translate complex telecom business logic into scalable ETL architecture and data transformation workflows.

• Developed data pipelines supporting the COMSAFE sales commission system, consolidating sales data from mobile, broadband, and cable services into a unified commission calculation platform.

• Implemented data validation, reconciliation, and audit frameworks to ensure data accuracy, traceability, and compliance with financial reporting standards.

• Managed ETL deployment and environment promotion using Jenkins, enabling continuous integration and controlled release management across development and production environments.

• Monitored production ETL workflows and batch pipelines, performing root cause analysis and issue resolution to improve operational stability and maintain high system availability.

• Designed and implemented data warehouse ETL pipelines using Ab Initio, Teradata, and DB2, supporting enterprise banking and retail analytics platforms.

• Led a large-scale ETL migration initiative, converting legacy Ab Initio workflows to Informatica, improving platform maintainability and optimizing licensing costs.

• Defined ETL architecture standards, design guidelines, and development best practices, enabling consistent implementation across enterprise data integration projects.

• Built data transformation pipelines processing structured and semi-structured datasets, including XML normalization and relational schema mapping.

• Implemented incremental data loading and delta processing strategies, significantly improving ETL performance and reducing overall batch processing time.

• Developed automated data validation and reconciliation frameworks comparing outputs between legacy and migrated ETL systems, ensuring data accuracy during transition.

• Developed ETL pipelines supporting fraud detection analytics, merchant transaction processing, and enterprise reporting systems.