Vinod Nayak
Data Engineer @ General Mills || 4+ years Experience | GCP | Azure | Hadoop | Python | SQL | Tableau | dbt
- Role
- Senior Data Engineer Data Strategy & Engineering at General Mills
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Vinod Nayak
At General Mills, I bridge business goals with data engineering excellence—transforming complex market data into actionable insights. As part of the Data Strategy and Engineering team within the Digital & Technology function, I specialize in designing scalable data pipelines, automating reporting workflows, and enhancing data reliability for North America businesses.With over 4 years of experience across data engineering and analytics, I’ve worked extensively on Nielsen POS and Panel data - migrating, harmonizing, and automating datasets across 27+ markets. My toolkit spans Google Cloud Platform (GCP), BigQuery, Airflow, dbt, Spark, Hive, SQL, Python, Excel, and Tableau, enabling seamless data ingestion, transformation, and delivery.Previously, I led the Nielsen Connect Migration and Brazil Automation initiatives - modernizing data workflows, improving scalability, and strengthening cross-functional collaboration between global teams.I’m passionate about building data-driven ecosystems that connect business strategy with technology - ensuring every dataset drives smarter, faster decisions.
Experience
Senior Data Engineer Data Strategy & Engineering
Jun 2025 — Present · Mumbai, IN
Responsibilities:Designed, implemented, and maintained scalable, configuration-driven data pipelines across 80+ operator volume sources, ensuring high data accuracy and SLA adherence.Automated ingestion and transformation workflows using Airflow, BigQuery, and Python, reducing manual interventions and improving end-to-end efficiency.Built a dynamic DAG framework to orchestrate modular ETL processes, including data validation, dependency handling, and notification automation.Engineered FDI ingestion and modeling frameworks to enable reusable logic and standardized processing across global datasets.Optimized BigQuery SQL transformations and data models for performance, improving query runtime and data freshness across reporting layers.Migrated manual reporting processes to GCP, modernizing the data foundation and enhancing scalability, reliability, and automation.Partnered with cross-functional teams to design data architecture blueprints ensuring proper lineage, schema alignment, and transformation consistency.Contributed to documentation, onboarding, and code reviews, fostering transparency, reproducibility, and collaboration across the Data Foundation team.
Education
University of Mumbai
Bachelor's degree, Computer Science
2017 — 2020
Vivekanand Education Society's Institute Of Technology
Master of Computer Applications - MCA
2020 — 2022
Indian Institute of Technology, Roorkee
Post Graduate Program, Data Science and Machine Learning
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