Available to hire
Hi, I’m Sheetal Gaddam, a data engineer with 4+ years of experience in Big Data Engineering and Data Analysis. I design and operate data pipelines, architectures, and analytics to turn raw data into actionable insights using AWS, Snowflake, Databricks, and Spark. I enjoy collaborating with product and business teams to translate requirements into scalable, reliable data solutions.
I’ve built real-time and batch pipelines, implemented data governance, modeled data warehouses, and delivered BI-ready datasets and dashboards. I’m passionate about solving data challenges and enabling data-driven decision making.
Language
English
Fluent
Work Experience
Data Engineer at Utah Valley University
May 1, 2024 - PresentArchitected and implemented scalable data solutions using AWS (S3, Glue, EMR, Lambda) and Snowflake to support real-time and batch processing. Designed ingestion pipelines with Glue, Kinesis, and Lambda; built ETL/ELT workflows with Spark and Athena; ingested high-throughput data with Kinesis and Firehose; created data warehouse models in Redshift, Snowflake, and S3-based lake architectures; wrote optimized SQL/HiveQL/SparkSQL for large datasets; built Tableau dashboards; developed data pipelines in Python and shell scripts; ensured data governance, metadata catalogs, and reproducibility; collaborated with stakeholders to drive data-driven insights.
Data Engineer at Fujitsu Consulting India Pvt Ltd
December 1, 2019 - July 1, 2022Designed and implemented scalable ETL pipelines using Azure Data Factory, Azure Synapse Analytics, and Databricks; optimized SQL in MySQL; automated CI/CD pipelines in Azure DevOps; automated data ingestion with Azure Functions, Logic Apps, and Data Factory; built ETL workflows in Alteryx; developed streaming apps with Python and Spark Structured Streaming to publish events to Event Hub; established data lineage and Unity Catalog; implemented row-level security and Power BI data access; integrated Power BI with cloud sources; built end-to-end data pipelines on AWS including S3, Lambda, Glue, EMR, and Athena; migrated cron-based ETL scripts to Airflow; built Power BI solutions; designed Spark ETL pipelines for batch/streaming; scheduled workflows with Informatica/Control-M/Autosys; orchestrated in Matillion; ensured data governance and created semantic layers; containerized apps with Docker; trained ML models in SageMaker; built Snowflake/Matillion/dbt/Airflow pipelines; created REST AP
Education
Master’s in Computer and Information Science (CSE) at University of North Texas (UNT)
January 11, 2030 - May 1, 2024Bachelor’s in Computer Science and Engineering (CSE) at Jawaharlal Nehru Technological University Hyderabad (JNTUH)
January 11, 2030 - May 1, 2020Qualifications
AWS Cloud Practitioner
January 11, 2030 - January 7, 2026Azure Data Fundamentals
January 11, 2030 - January 7, 2026Microsoft Certified Azure Data Engineer Associate
January 11, 2030 - January 7, 2026Industry Experience
Software & Internet, Professional Services, Other
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