Data Engineer Software Engineering

NEHA BHARATH

MS in SE, San Jose State University **************@*****.*** www.linkedin.com/in/neha-bharath-3a07501b8 Expected Graduation: May 2026 SJSU– Master’s degree in Software Engineering 3.9 / 4.00 GPA Graduated: July 2022 PESITM – Bachelor’s degree in Computer Science 3.47 / 4.00 GPA Data Engineer with a Master’sinSoftwareEngineeringandover2yearsofexperienceinbuildingdatapipelines,automatingETL processes,andmanagingdataforactionableinsights.Strongexpertiseinprogramming(Python,SQL),dataqualityvalidation,anddata visualization.Experiencedinworkingcollaborativelywithcross-functionalteamstoenhancedataquality,performdataanalysis,and provide key insights for decision-making.Eager to contribute my analytical skills and attention to detail to support Jane Street's data-driven approach and trading operations.

● Programming Languages: Python, SQL ; Data Visualization: Tableau, Excel

● ETL Tools: Azure Data Factory, Microsoft SSIS

● Cloud Platforms: Azure (Blob Storage, Synapse, Data Factory, Databricks)

● Database Management: Snowflake, SQL Server, AWS

● Big Data Technologies: Hive, HDFS, Presto

● Version Control: Git ;Tools & Frameworks: Jupyter Notebooks, Apache Kafka (basic), PySpark (basic) Experiences

1.Data Engineer Hexaware Technology (09/2023 - 07/2024)

● Data Validation & Quality:Meticulously checked datasetsfor anomalies, ensured high-quality data integrity, and implemented automated ETL processes using Azure Synapse and Databricks, improving processing efficiency by 35%.

● Data Pipeline Development:Built and optimized datapipelines for ingesting, processing, and storing data from a variety of sources (SQL, AWS S3, FTPs) to support key business insights and decision-making.

● Collaboration & Communication:Worked closely withtraders, business analysts, and software engineers to ensure data accuracy and optimize pipeline performance, translating technical findings for non-technical stakeholders.

● Automation & Optimization:Developed SQL queries andPython scripts to automate repetitive tasks, saving time and reducing human error in data processing workflows.

● Data Visualization:Created interactive Tableau dashboardsand reports that provided real-time insights and helped teams visualize key data trends.

2.Data Engineer Associate Hexaware Technology (07/ 2022 - 09/2023)

● ETL Automation:Developed and optimized ETL workflows,reducing manual data processing time by 40%. Integrated data from multiple sources (MS SQL Server, AWS S3) to support comprehensive analytics.

● Data Analysis:Used Python and SQL to perform exploratorydata analysis (EDA) on business data, uncovering insights to inform strategic decisions.

● Collaboration:Communicated effectively with cross-functionalteams, explaining technical processes and results in a clear, concise manner to both technical and non-technical audiences.

● Data Integrity:Managed data integrity checks andvalidation tasks to ensure the accuracy and consistency of large datasets used in reporting and analysis.

3.Data Engineer Intern Tequed Labs (09/ 2021 - 12/2021)

● Data Loading Optimization:Improved data load performanceby 60% using Azure Synapse Analytics, making large-scale datasets more accessible for analysis.

● ETL Processes & Data Validation:Automated data transformationand validation tasks, ensuring that only clean, validated data entered the analysis pipelines.

● Collaboration:Worked with data science and engineeringteams to implement data pipelines and resolve any issues related to data quality.

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