Aug 2022 – Present · 3 yrs 7 mos · Bengaluru, Karnataka, India

• Data Platform Modernization & Transformation
• Spearheaded LinkedIn's data platform modernization, moving hundreds of pipelines to a unified, dbt-based transformation framework (inDBT) on Spark and Hadoop. This significantly improved developer velocity, governance, and standardization.
• Defined the long-term technical vision for scalable, declarative data authoring, leveraging Airflow for orchestration to build a sustainable foundation for 10,000+ production data workflows.
• Efficiency, Governance, & Cross-Functional Leadership
• Drove company-wide compute and storage efficiency programs, analyzing Spark/Hadoop workloads and implementing optimization that achieved multi-million dollar annual CAPEX savings via compute reduction, compaction, and retention.
• Partnered across Infra, UMP, CPS, and GGW to establish end-to-end lifecycle governance—from authoring to storage—aligning lineage and retention under a single strategy, including Pinot for real-time analytics.
• Influenced the design and rollout of next-gen infrastructure (e.g., Nimbus orchestration, Hydrofoil compute), ensuring platform readiness for critical enterprise initiatives using Airflow and Iceberg standards.
• Adoption, Enablement, & Performance Culture
• Built organizational alignment and adoption at scale, leading migration playbooks and hands-on enablement for 200+ engineers/analysts to successfully adopt dbt, Iceberg, and Airflow as core development standards.
• Established a performance/observability culture by launching data quality, cost visibility, and efficiency dashboards (leveraging Jupyter Notebooks) that transformed platform governance and usage measurement.
• Mentored and guided multiple platform teams, shaping architectural decisions, establishing reusable design patterns, and promoting a long-term culture of craftsmanship and innovation.

Dec 2019 – May 2021 · 1 yr 5 mos

• Enable business analytics with powerful yet easy-to-use data.
• Advance the data integration platform and methodology in the era of Big Data.
• High-performance data movement solution
• GDPR infrastructure to adhere to policies
• ETL tooling and performance tuning best practice
• Working on Hadoop, Hive. Mainly Handling large data set(in terabytes) and writing MR jobs and hive queries to do Data analysis.
• Big Data Solutions, Data processing on Hadoop workflows, Analytics & metrics reporting tools & tech: Spark, Hive, Java, Hadoop, Azkaban, Apache Velocity

Jul 2013 – Dec 2019 · 6 yrs 5 mos

• .Working on bringing large data sets from different sources to Data warehouse.
• .Working closely with various teams like sales , operations and helping these teams to build great insights dashboard where the data points act as a catalyst for the sales team to sell the products.
• .ETL'ing Data using Pig scripts & Hive.
• Proficient in Data modeling, SQL scripts and Teradata Utilities.
• .Proficient in gathering requirements and building a use case that will benefit the users and displaying the data in the most effective manner including tools like Microstrategy and Tableau .
• .A good understanding of basic shell scripting that is required for day to day activities
• .Exposure to niche technology company tools like salesforce ,Real Time Ad exchange and overall Ads related domain
• .Design and Development of an active -active teradata system to ensure the resources are used effectively.