Sanjaya Kumar Panigrahy

About Sanjaya Kumar Panigrahy

I am an Engineering Manager with 20 years of experience building scalable cloud platforms, data systems, and SaaS products. My recent focus has been on Data Platforms and FinOps analytics systems, enabling organizations to gain actionable insights from large-scale cloud usage and cost data.Recently, I have been leading the development of a Data Orchestration platform (QDO) in the banking domain, focused on building DataOps pipelines for risk and finance systems. This includes designing scalable ingestion and transformation workflows using Azure Data Factory, implementing incremental processing, and improving pipeline performance by 20–30% while ensuring data quality, auditability, and reliable orchestration across platforms.At VMware CloudHealth, I lead engineering teams responsible for building and scaling the FinOps analytics platform. Our systems process large volumes of cloud telemetry through batch, streaming, and real-time pipelines, powering cost optimization insights for thousands of customers.Key initiatives I have led include:• Delivering Rightsizing capabilities that analyze cloud usage and cost patterns to help customers optimize infrastructure spend and resource utilization.• Improving reliability of the CloudHealth Cube ETL engine, reducing pipeline failures by 80% through enhanced observability and platform engineering improvements.• Implementing data quality and automated validation frameworks for raw and derived metrics, achieving 95% automated coverage across analytics pipelines and APIs.• Driving cloud infrastructure optimization initiatives, reducing platform operating costs by 40% while improving scalability and performance.• Building proactive monitoring tools for batch and streaming data pipelines, reducing customer-reported data issues by 70%.I am passionate about building reliable data platforms that enable organizations to make better decisions at scale and about creating engineering cultures focused on automation, observability, and operational excellence.Earlier in my career, I also took an entrepreneurial path and founded a startup that acquired customers in its first year. Our platform was recognized among the Top 10 POS solutions and earned a 4.7 rating on the Play Store, validating our focus on product quality and customer experience.With an MBA from the Indian Institute of Management Bangalore and deep experience in cloud platforms, distributed systems, and engineering leadership, I enjoy working at the intersection of technology, data, and business impact.

Experience

1. Engineering Manager(Rabo Bank)

   Tata Consultancy Services

   Feb 2025 — Present · Bengaluru, IN

   Led the design and implementation of DataOps pipelines for the QRM Data Orchestrator (QDO), a strategic integration layer enabling automated data flows across ALM, FTP, IRRBB, and Liquidity risk systems.Architected and built scalable data ingestion pipelines using Azure Data Factory (ADF) to onboard source data from legacy systems into the enterprise data lake.Implemented incremental data processing frameworks, significantly reducing data load times and optimizing compute costs.Designed and managed orchestrated scheduling workflows (daily, weekly, monthly) ensuring timely and reliable data availability for downstream risk and finance processes.Developed data transformation and aggregation pipelines to support trade aggregation, closing entries computation, and FTP post-processing use cases.Enabled end-to-end data lineage and auditability by integrating Data Quality (DQ) frameworks and tracking record-level changes using metadata (e.g, RecordTypeId).Built feedback loop mechanisms to propagate processed data back into multiple platforms, ensuring consistency across ALMDS, GRFD, and downstream systems.Collaborated cross-functionally with Risk, Finance, and Data Engineering teams to align data models and ensure seamless integration with the QRM (Quantitative Risk Management) engine.Improved overall data pipeline performance by 20–30% through optimization of ETL workflows, parallelization strategies, and efficient data partitioning.Contributed to Rabobank’s OneALM+ transformation initiative, enabling scalable, automated, and governed data orchestration capabilities for future growth.

Education

• Berhampur University

  B.TECH, Computer Science Engineering

  1998 — 2002

• Udacity

  Product Manager, Project Management

  2020 — 2020

• Indian Institute of Management Bangalore

  Executive MBA, Business Administration and Management, General

• Govt. Science College, Chatrapur

  Intermediate, Mathematics and Computer Science

  1995 — 1997

Skills

• Software Development
• Unix
• Ant
• Test Planning
• Junit
• Linux
• Test Automation
• Testng
• Vmware
• Testing
• Core Java
• Servlets
• Jdbc
• Java
• Ruby
• Java Enterprise Edition
• Perl
• Virtualization