Subham Naik

Background

About Subham Naik

Designed developed and maintained Ab Initio graphs and plans for my client's global supply chain ensuring accurate and timely data integration across multiple systems. This included integrating data from ERP CRM and warehouse management systems to provide a unified view of product availability and movement. • • Optimized existing Ab Initio data pipelines resulting in a reduction in data processing time. This involved tuning graph performance imple‑ menting data partitioning and optimizing database queries. • Created and fine‑tuned a lot of complex Ab Initio graphs incorporating DML XFR PSET and meta‑programming techniques to streamline data transformation and integration. • Implemented data quality checks and validation rules within Ab Initio to ensure data integrity and accuracy throughout the supply chain. This involved developing reusable data quality components and creating automated data validation reports. • Collaborated closely with business analysts stakeholders and other developers to gather requirements translate them into technical specifi‑ cations and deliver effective ETL solutions. • Leveraged parallelization in‑memory processing and workload balancing to reduce data processing time by for large datasets. • Proactively identified and resolved data integration issues within the Ab Initio environment minimizing disruptions to supply chain operations. This involved troubleshooting complex data transformation errors and optimizing data loading processes. • Managed high‑volume data pipelines processing a lot of data weekly implementing error‑handling mechanisms and failover strategies to ensure reliability. • Conducted in‑depth root cause analysis (RCA) on recurring ETL failures implementing proactive fixes that reduced unexpected outages. • Created and maintained comprehensive documentation for ETL workflows covering data mappings transformation rules error‑handling mechanisms and system configurations improving onboarding efficiency. • Assisted in data governance initiatives ensuring data accuracy compliance and security across all ETL pipelines minimizing regulatory risks.