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Jeeshitha R. — Mid-Level Data Engineer from United States

Jeeshitha R.

Mid-Level Data Engineer

United States 1-2 years
Open to offersNew to Platform
Languages
English
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About

Jeeshitha K. is a highly experienced Data Analyst with over three years of expertise in transforming complex datasets into actionable insights to drive business decision-making. Currently, as a Data Engineer at PayPal, she leverages her proficiency in SQL, Python, Power BI, and Tableau to analyze large-scale datasets, identify performance trends, and optimize processes. Her work involves building analytics-ready data models in Snowflake and BigQuery, developing stakeholder dashboards, and ensuring data accuracy through automated quality checks. Before PayPal, Jeeshitha contributed to operational insights at ICICI Bank by designing intricately detailed dashboards and automating reporting workflows. Her technical acumen is further bolstered by hands-on projects in generative AI for analytics and real-time data processing, alongside certifications in Google Data Analytics and AWS Cloud Essentials, underpinning her robust foundation in data management and cloud tech.

Experience

  • Data Engineer

    PayPal · 2024 — Present
    Performed analysis on large-scale transactional and behavioral datasets utilizing SQL queries and Python to pinpoint performance trends and potential optimization areas, ensuring adherence to key performance indicators (KPIs). Constructed and maintained analytics-ready data models and KPI tables in Snowflake and BigQuery to aid dashboards and business reporting. Developed dashboards in Power BI and Tableau to allow stakeholders to monitor performance metrics and trends. Executed automated data validation and quality checks to guarantee accuracy in the reports utilized for decision-making and maintain compliance with regulatory requirements. Collaborated with cross-functional teams, including hardware design, to establish metrics, validate insights, and support data-driven initiatives.
  • Data Analyst

    ICICI Bank · 2021 — 2023
    Conducted analysis of large transactional datasets through SQL queries and Python to provide operational and performance insights while adhering to key performance indicators (KPIs). Created and maintained Power BI and Tableau dashboards to track KPIs, trends, and risk indicators for leadership, facilitating data visualization. Engaged with business teams to convert requirements into actionable reports and self-service dashboards. Automated the generation of reports and workflows, enhancing efficiency and reducing the manual effort involved.

Skills & Expertise

Education

  • Master of Science in Data Science
    University of Texas at Arlington · 2023 — 2025
  • Bachelor of Technology in Computer Science
    Sri Venkateswara College of Engineering · 2019 — 2023