Nandhini Vijayakumar

Data@EY | Data Engineer | 3x Databricks Certified | 2x Azure Certified | Snowflake Certified | ex-Citi | CEG

New York, New York, United States

About

Experienced Senior Programmer Analyst with years of expertise in database management, development, and performance optimization. Hands-on experience in designing and implementing scalable data solutions, including building enterprise data lakes and developing high-performance ETL pipelines using Spark SQL in Databricks. Proficient in implementing complex data models (Star and Snowflake schemas) to support optimized query performance. Skilled in cloud-based data engineering on AWS and Azure, leveraging technologies such as Apache Spark and Snowflake to enable data-driven decision-making. Adept at leading cross-functional teams, automating workflows, and maintaining data integrity across large-scale distributed systems. Certifications: Microsoft Certified: Azure Data Engineer Associate certification AWS Certified Data Engineer Associate. Snow pro Core Certification Microsoft Certified: Azure Fundamentals Databricks Data Engineer Associate Certification Databricks Data Engineer Professional Certification Databricks Certified Associate Developer for Apache Spark 3.0

Experience

  • Senior Consultant at EY
    Jul 2025 - Present · 1 yr

  • Graduate Tutor & Grader for Big data Analytics at University of Massachusetts Dartmouth
    Sep 2024 - Dec 2024 · 4 mos

    •Mentored 54 students in Big Data Analytics, providing guidance on assignments and projects related to Spark and AWS cloud integration, improving project completion rates. •Assisted in marking assignments and evaluating student performance in data engineering and cloud computing concepts. •Provided one-to-one tutoring on big data technologies, including Apache Spark, AWS, and Azure, ensuring conceptual clarity and hands-on proficiency. •Guided students in implementing real-world data engineering pipelines using AWS services such as EC2, S3, Lambda, and Redshift. •Developed an AI-powered grading tool using machine learning to automatically evaluate digital assignments by analysing answer key keywords and final responses, improving grading efficiency and accuracy. •Reviewed student projects on Snowflake, Python, and machine learning-based data processing, ensuring best practices in data modelling and analytics. •Evaluated coursework and provided feedback on SQL optimisation, ETL pipelines, and cloud-based data integration strategies.

  • Citi (7 yrs 1 mo)
    • Assistant Vice President(Apps Dev Senior Programmer Analyst)
      Jan 2022 - Dec 2023 · 2 yrs

      •Developed 5+ SP’s to replace LIBOR with Risk-free Rates (RFR) in Loans and Deposits, ensuring regulatory compliance. •Implemented ETL frameworks to enrich transactions with RFR rates, optimizing data flow and ensuring seamless processing. •Led UAT, production support, and troubleshooting, coordinating with cross-functional teams to ensure smooth deployment. •Incorporated Data Governance with RBAC and data encryption with Dynamic Data Masking, improving transaction security. •Provided technical leadership and support in an Agile work environment, actively participating in scrum meetings and sprint deliverables.

    • Officer (Apps Dev Intermed Programmer Analyst)
      Jan 2020 - Dec 2021 · 2 yrs

      •Collaborated with stakeholders to understand business processes and requirements, ensuring alignment of technical solutions with business needs. •Designed a stored procedure to extract 100K+ FX/MM/FI historical and intraday trades, capturing SCD to help treasury monitor clearing account flows and liquidity. •Diagnosed and resolved 12+ data issues in 3 zones to ensure uninterrupted service and system performance through data replication.

    • Assistant Manager (Application Programmer Analyst ll)
      Jan 2018 - Dec 2019 · 2 yrs

      • Collaborated with 5+ stakeholders to gather data requirements, ensuring alignment with treasury objectives and operational needs for optimized data solutions. • Built an application to generate 5-day cashflow projections, enabling the Markets Treasury team to manage liquidity and risk, covering 100k+ trade flows and cash positions across 80+ countries. • Established 6+ monitoring thresholds for trade flows, allowing the treasury team to effectively mitigate risk and maintain control over cash positions. • Managed database administration and maintained agile project boards, improving team collaboration and project tracking efficiency by 38% .