Anurupa Velpula
Actively looking for new roles|| Data Engineer || Big Data Analytics & Machine Learning || 2X AWS certified || AWS || Python || ETL || Snowflake
- Role
- Data Engineer at LexisNexis
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Anurupa Velpula
As a data engineer at Amazon, I am passionate about utilizing data-driven solutions to…
Experience
Data Engineer
May 2022 — Present · Seattle, WA, US
Designed and engineered scalable, high-volume ETL data platforms, leveraging cutting-edge AWS technologies to streamline data ingestion, processing, and delivery workflows.•Orchestrated data ingestion processes using AWS Step Functions, triggering Python-based ETL code to seamlessly ingest S3 files from diverse data sources into Redshift Cluster, MySQL database, and Data Lake environments.•Implemented efficient data staging and dependency tracking mechanisms using DynamoDB, ensuring accurate tracking of dataset processing status and facilitating delta load optimizations.•Pioneered the transition from legacy ETL tools to AWS cloud-native solutions, resulting in substantial cost savings exceeding ~$80k/month while achieving near-real-time batch data processing frequency, enhancing SLA commitments to customers.•Led the design and implementation of robust data models and complex SQL queries, including advanced techniques such as window functions, Common Table Expressions (CTEs), and table self-joins, to generate denormalized datasets and support sophisticated analytical needs.•Collaborated closely with cross-functional business stakeholders to gather and finalize requirements for new features, ensuring alignment with strategic objectives and delivering impactful solutions to drive business growth.•Established end-to-end continuous integration pipelines (CI/CD) for seamless deployment of ETL processes and AWS infrastructure resources, driving automation and efficiency across the data engineering lifecycle.•Served as an on-call engineer, proactively monitoring and supporting critical data pipelines to ensure on-time data delivery, resolving pipeline failures, and providing timely resolution to potential data quality issues, thereby maintaining high SLA adherence and customer satisfaction.
Education
VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
Bachelor's degree
University of Missouri-Kansas City
Master's degree, Computer Science
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