Available to hire
Hi, I’m Nikita Mandhan. I’m a data engineer who loves turning complex data into reliable, scalable systems. I design and implement data models, end-to-end ETL/ELT pipelines, and robust data architectures that support meaningful insights.
Collaboration is key for me: I enjoy working with engineers, product managers, and data scientists to understand needs and translate them into practical data solutions. I’m proficient in SQL, Python, Spark, and cloud platforms (AWS/GCP), and I’m committed to data governance, security, and delivering actionable analytics.
Skills
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Language
English
Fluent
Work Experience
Data Engineer at Verana Health
June 1, 2024 - August 31, 2025Designed, modeled, and implemented large-scale data warehousing and ETL pipelines with Spark, Airflow, Databricks, and AWS, processing 5B+ health records; reduced execution time by 40% and compute cost by 15%. Built interactive dashboards and complex SQL queries to improve anomaly detection and data quality, cutting data review time by 30%. Delivered automated workflows for Merit-based Incentive Payment System (MIPS) quality measures, enabling faster regulatory compliance and more accurate treatment decisions. Collaborated with engineers, product managers, and data scientists to translate needs into scalable data solutions.
Data Engineer at Capgemini
June 1, 2020 - November 30, 2022Developed and automated end-to-end data integration pipelines powering product decisions for 42M+ users, directly shaping business strategy and improving user experience and engagement. Optimized data transformations solving complex data warehouse challenges through automated ETL processes, achieving 70% faster processing while defining and managing Service Level Agreements to ensure data reliability. Drove software engineering excellence by leading code reviews & best-practice sessions, improving team productivity.
Data Engineer at Bitwise Solutions Pvt. Ltd
July 1, 2017 - May 31, 2020Designed the data architecture and ETL pipelines with Informatica and SQL managing reward programs for 40M+ Discover Bank card holders, delivering real-time dashboards that gave business stakeholders direct, actionable insights. Triaged and resolved production issues while working with data at scale and automating data workflows to reduce manual processing effort by 55%, increasing operational efficiency and freeing analysts to focus on higher-value tasks.
Education
Master of Science in Information Systems at Northeastern University, Seattle, WA
January 11, 2030 - January 7, 2026Bachelor's Degree in Information Technology at Pune University, India
January 11, 2030 - January 7, 2026Qualifications
Industry Experience
Software & Internet, Healthcare, Life Sciences, Professional Services
Skills
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