Prasanna Venkatesh S

Experienced Data Delivery Manager with strong expertise in managing large-scale data engineering and analytics programs across cloud and on-prem platforms. Proven track record in delivering complex ETL modernization, cloud migration, and data platform initiatives while managing cross-functional teams, stakeholders, and SLAs. Adept at balancing technical depth with delivery governance, client communication, and team leadership. Led end-to-end delivery of large-scale data engineering and analytics programs across cloud and on-prem platforms. Managed multiple ETL support, enhancement, and modernization workstreams with strict SLA and KPI adherence. Acted as primary client interface, driving stakeholder alignment, governance, and executive-level reporting. Translated business requirements into delivery roadmaps, sprint plans, and execution strategies. Oversaw design, development, and support of enterprise data pipelines, warehouses, and analytical datasets. Guided teams on SQL, PySpark, Big Data frameworks, and cloud-native data services best practices. Led on-prem to cloud (GCP) migration initiatives ensuring scalability, security, and cost optimization. Ensured data quality, reconciliation accuracy, performance tuning, and operational stability of pipelines. Managed L2/L3 production support, incident resolution, and root cause analysis for critical data systems. Drove Agile delivery ceremonies including sprint planning, backlog grooming, and release management. Mentored and managed cross-location data engineering teams, supporting performance and career growth. Implemented delivery governance, risk management, and continuous improvement frameworks. Collaborated with architects and platform teams on modern data architectures and platform standards. Improved operational efficiency through automation, monitoring, and proactive issue detection.

• - Directed the delivery of end-to-end data engineering initiatives to ingest, curate, and transform complex Payments data, ensuring alignment with PayPal's Accounting and Finance standards. Oversaw teams leveraging GCP (Dataproc, BigQuery, Airflow), PySpark, Python, and SAP HANA.
• - Owned overall program delivery, driving architectural decisions for scalable data pipelines and ensuring robust, compliant, and performant solutions at the platform level.
• - Engaged cross-functional stakeholders including Finance, Product, and Partner Engineering teams, to align product requirements, manage expectations, and ensure timely delivery of business-critical solutions.
• - Led strategic engineering migration programs and acted as a key representative for the Data organizational forums, ensuring initiatives were aligned with corporate priorities and compliance standards.
• - Anchored offshore delivery operations, translating business requirements into technical execution plans and ensuring high-quality, on-time deliverables.
• - Mentored and coached junior engineers, fostering a strong offshore delivery capability and ensuring consistent quality in execution.

• Client: PayPal Inc.
• Key Responsibilities: Manage and mentor a team of data engineers, ensuring alignment with organizational goals and project timelines. Design, develop, and maintain scalable data architectures, including data lakes, warehouses, and ETL processes. Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights. Implement best practices for data governance, security, and compliance. Optimize data processing workflows for efficiency and performance. Stay updated with the latest industry trends and emerging technologies to continuously improve data solutions. Oversee the integration of new data sources and the migration of legacy systems. Manage budget and resource allocation for data engineering projects.
• Key Achievements: Played a pivotal role in the migration of the entire data landscape from Informatica PowerCenter ETL tool to Cloud based GCP Bigquery solution. I also received a lot of accolades and good recognition for this feat.