Aayush  Bajracharya

Aayush Bajracharya

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Data Engineer at Citi Group
New York, United States

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Jobs verified_user 0% verified
  • Citi
    Data Engineer
    Citi
    Aug 2022 - Current (3 years 11 months)
    • Architect end-to-end data workflows using tools like Hadoop, Hive, and Spark to ensure efficient data processing. • Construct and maintain elastic data solutions on cloud platforms such as AWS, incorporating Redshift, Lambda, and Glue for scalability. • Apply advanced techniques like compression, distribution styles, and sort keys to enhance storage efficiency and accelerate query response Execute robust ETL processes using tools like AWS Glue, SQL scripts, and ETL tools, ensuring accurate and timely data insights. • Create intricate HiveQL queries and Spark transformations to enable agile data manipulation, fostering insightful analytics. • Collaborate cross-functionally to architect data models, define best practices, and shape a robust
  • Cigna Healthcare
    Data Engineer
    Cigna Healthcare
    Mar 2020 - Jul 2022 (2 years 5 months)
    • Engineered data pipelines employing Python 2.7.x, 3.x, SQL, Shell Scripting. Orchestrated seamless ETL processes, ensuring agile data transformation and loading. • Innovated with Scala, Java, R, crafting tailored data solutions. Enhanced system performance, enabling dynamic data manipulation for versatile insights. • Spearheaded Hadoop 3.0, Spark integration for expansive analytics. Amplified data insights, facilitating strategic decisions through optimized processing. • Designed and managed HBase 1.4, Cassandra 3.11 databases. Elevated data storage, retrieval, bolstering performance and availability with refined mechanisms. • Orchestrated Apache Airflow workflows for automated data pipelines. Ensured consistent, monitored data flow, fost
  • Mastercard
    Data Analyst
    Mastercard
    Sep 2017 - Feb 2020 (2 years 6 months)
    • Collaborate across functions, extracting insights using SQL, Pandas, NumPy, statistical analysis. Transform data sources into valuable insights, empowering informed business decisions. • Craft data pipelines to cleanse, transform diverse data sources. Ensure precision, data integrity for accurate analysis using SQL, Python libraries. • Shape data models, ensuring integrity, best practices adherence. Contribute to optimized insights with thorough data understanding and analysis. • Perform trend, anomaly identification through data analysis. Drive decision-making with actionable insights, leveraging SQL, Python proficiency. • Visualize findings using Tableau, Power BI, or matplotlib. Translate complex data into compelling visual narratives,
Education verified_user 0% verified
  • The City University of New York
    Bachelor's degree, Computer Science and Information Security
    The City University of New York
  • LaGuardia Community College
    Associate's degree, Computer Science
    LaGuardia Community College