Nithin Sankar Bahunadam

Experienced and results-driven Senior Data Engineer with over 7 years of success designing, developing, and deploying cloud-native data pipelines, scalable ETL frameworks, and real-time analytics solutions. Demonstrated ability to partner with stakeholders, enhance data transformation processes for downstream ML and analytics use cases, and apply best practices in cloud data architecture. Adept in both AWS and Azure environments, proficient in modern data engineering tools such as Databricks, Snowflake, Airflow, and Kafka, and experienced in API creation and deployment for ML model integration. Known for a strong mentorship mindset, providing guidance to junior engineers and fostering a collaborative team environment.

Senior Data Engineer / Data Analyst

Zoetis, Parsippany, NJ
Apr 2024 – Present

• Designed and built cloud-native pipelines using Azure Data Factory and Databricks for high-throughput data ingestion and transformation.
• Migrated SQL databases to Azure Data Lake and Synapse, optimizing performance and cost using Delta Lake and partitioning strategies.
• Integrated real-time analytics via Spark Streaming, Kafka, and Flume for event-driven data insights.
• Implemented predictive models using PySpark MLlib, deployed via FastAPI for real-time API-based consumption.
• Automated end-to-end workflows with Apache Airflow and implemented secure pipelines using RBAC and IAM.
• Developed dashboards and reporting pipelines using Power BI, applying complex DAX and row-level security for compliance.
• Mentored junior data engineers, provided technical guidance, and contributed to internal knowledge-sharing sessions.

Data Engineer / Analyst

Fifth Third Bank, Cincinnati, OH
Jun 2023 – Mar 2024

• Developed scalable ETL processes using AWS Glue, Lambda, Step Functions, and integrated them into Redshift for downstream analytics.
• Built and maintained real-time streaming pipelines using Apache Kafka and Spark, enabling low-latency financial data processing.
• Deployed ML models via Flask APIs for integration with downstream services.
• Automated infrastructure deployment using CloudFormation, integrated with CI/CD and GitHub.
• Created Snowflake-based warehousing solutions, optimizing query execution with materialized views and clustering.
• Delivered insights through Power BI dashboards and mentored junior team members in BI best practices.

Data Analyst

PNB MetLife Insurance, Mumbai, India
Oct 2021 – Apr 2023

• Built event-driven analytics with Azure Stream Analytics, Event Hubs, and Synapse SQL Pools.
• Conducted statistical modeling using Python, SPSS, and Google Analytics for marketing optimizations.
• Developed Tableau dashboards with advanced LOD expressions and interactive visualizations.
• Maintained and optimized complex SQL and PL/SQL procedures across Oracle and MySQL.
• Collaborated across departments and supported interns with training on SQL and analytics tools.

Data Analyst

Aditya Birla Retail, Mumbai, India
Jul 2017 – Sep 2021

• Developed and optimized data pipelines across AWS (S3, Redshift, DynamoDB).
• Leveraged MapReduce and Python ETL for large-scale data processing.
• Created Tableau dashboards and integrated data from various sources including SQL and cloud.
• Acted as a mentor to new analysts, introducing them to best practices in ETL and reporting.

Master of Science in Big Data Analytics & Information Technology
University of Central Missouri, Warrensburg, MO
May 2023 – Dec 2024 (Expected)

Bachelor of Technology in Computer Science & Engineering
GITAM University, Visakhapatnam, India
Jun 2014 – May 2018