Venkatesh Bandaru
@venkateshbandaru
Data Governance Specialist and Technical Lead delivering governed, discoverable enterprise data.
IndiaWhat I'm looking for
I’m a result-oriented Data Governance Specialist and Technical Lead, leveraging expertise in global data governance engineering to enhance work culture and drive innovation. I offer over 10 years of data governance experience, focused on building governed data foundations that teams can trust.
Currently, I’m working as Technical Lead (Data Governance Specialist) at Tech Mahindra India Pvt. Ltd., ensuring data governance service offerings are delivered effectively. I also lead the design of Data Catalog, Data Dictionary, Classification, and Metadata onboarding at IQVIA, spanning platforms like Hive, RDBMS, Data Bricks, Erwin, Snowflake, and Synapse.
I’ve implemented Microsoft Purview Data Catalog to provide centralized visibility of enterprise data assets and established end-to-end data lineage for safe impact analysis. I automate data classification and sensitivity labeling for PII/PHI, add domain-based ownership and stewardship, and apply policy-based access governance to enforce least-privilege security.
Experience
Work history, roles, and key accomplishments
Senior Consultant, Data Gov
GoMark AiLabs Private Limited
Oct 2025 - Present (6 months)
Led implementation and rollout of a data governance platform, ensuring project kick-start, data pipeline supervision, and operational readiness. Built Spark-based data processing and REST API integrations to support governance activities with Apache Atlas and Microsoft Purview.
Implemented and supported data governance services, including data cataloging, metadata onboarding, and governance reporting. Developed Spark jobs for Lexmiller’s reverse access audit and enhanced UI interactivity via REST APIs between Apache Atlas and Microsoft Purview; received Best Performer of Q1 recognition from business stakeholders.
Drove onboarding and governance enablement for a global customer health platform by building data pipelines and preparing governed datasets for downstream analytics and reporting. Implemented Microsoft Purview for data cataloging, metadata scanning, data quality, glossary/custom entities, and self-access policies; supported reverse access audit reporting via Lexmiller’s report.
Onboarded and enhanced a multi-tenant exploratory calculation environment by building file upload/processing and pandas profiling for user-provided datasets. Implemented CI/CD for deployments and developed REST APIs to support UI interactivity in Django; created ML models and automated usage metrics.
Delivered a data migration from data warehouse to data lake by implementing generic onboarding and processing frameworks to load data into HDFS from multiple source systems. Built Spark code from Abinitio graphs with unit testing, and supported job builds and integrations using Bitbucket and Jenkins.
Built centralized data lake onboarding and reporting workflows, generating Hive reports and coordinating business requirements for daily/weekly data extracts. Developed OOZIE scheduling workflows and SSIS packages for ETL, and served as Scrum Master by running agile ceremonies and creating user stories.
Education
Degrees, certifications, and relevant coursework
KL University
Bachelor of Engineering, Electronics & Computer Engineering
Earned a B.E. (Electronics & Computer) degree from KL University.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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