Data Engineer Computer Science

Someshwari Mukhara Srinivaslu

Data Engineer Cloud & Big Data Specialist M.S. Computer Science Building Scalable ETL Pipelines Actively seeking Full-Time positions.

Phone: +1-813-***-**** Email: *******.**********@*****.*** GitHub: github.com/SomeshwariMS

Summary

Highly motivated Computer Science Graduate with a Master's degree, actively seeking full-time Data Engineering positions. Possessing a strong foundation in programming languages, cloud technologies, big data tools, and ETL processes, with hands-on experience in building scalable data pipelines and warehousing solutions.

Education

Master of Science in Computer Science Saint Leo University May 2024

Bachelor of Science in Computer Science Presidency University, Bangalore June 2022

Skills

Programming Languages: Python, Scala, SQL

Database: Oracle Server, MySQL

Cloud Technologies: AWS, Snowflake

Big Data Tools: Hadoop MapReduce, Spark SQL, Hive, Impala, Kafka, Apache Airflow

Visualization Tools: Power BI, Tableau, Microsoft Excel

Work Experience

Data Engineer USAA Jan 2024 – Present

Designed, developed, and maintained robust ETL pipelines for high-volume financial data, leveraging AWS Glue and Amazon EMR (with Spark) to ensure efficient processing and delivery of critical datasets.

Orchestrated end-to-end data ingestion from diverse sources (relational databases, APIs, flat files) into an Amazon S3 Data Lake and transformed data to Amazon Redshift data warehouse, optimizing for analytical and reporting needs.

Developed complex data transformations and validation frameworks using Python and PySpark, ensuring data quality, consistency, and adherence to business rules for downstream applications.

Implemented data governance best practices, including schema management, data lineage, and metadata management within the AWS Cloud ecosystem.

Built and managed automated job schedules using AWS Managed Workflows for Apache Airflow (MWAA) to ensure timely and reliable execution of data pipelines.

Implemented data governance best practices, including schema management, data lineage, and metadata management within the Cloud ecosystem.

Collaborated extensively with cross-functional teams, including data scientists, business analysts, and compliance officers, to define data requirements, optimize data models in Snowflake, and improve query performance for actionable insights and regulatory reporting.

Data Engineer - Intern Axzora Private Limited, Hyderabad, IN June 2019 – June 2022

Managed large volumes of e-commerce data (product information, customer data, transaction records) using AWS S3 for scalable storage and Amazon RDS for relational database management.

Designed and implemented efficient automated ETL processes and data pipelines to integrate data from diverse sources including suppliers and raw material manufacturers.

Developed and maintained SQL queries and scripts for tracking customer transactions, managing inventory levels, and generating operational reports.

Collaborated with cross-functional teams to understand data needs and translated them into technical requirements for data integration and reporting solutions.

Certifications

Agile Project Management (Udemy) May 2021

Software Development Life Cycle (Udemy) June 2021

AWS Certified Data Engineer - Associate

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