Available to hire
Data Engineer with around 3 years of experience, specializing in designing and optimizing scalable data pipelines for real-time and batch processing using PySpark, SQL, Apache Beam, Teradata, and GCP-native services. Proficient in BigQuery, Dataflow, Pub/Sub, and Cloud Composer for big data processing and analytics. Strong background in ETL, data warehousing, and monitoring to ensure data quality, reliability, and efficiency.
Skills
Work Experience
Data Engineer at Verizon
November 1, 2025 - PresentDeveloping Teradata Code Artifacts using BTEQ, TPT, FastLoad, MLoad utilities; migrating data from Teradata to GCP; automated ETL pipelines with Cloud Composer and Dataflow, cutting manual intervention and ensuring reliable, on-time delivery. Configured and deploying Apache Airflow DAGs for BigQuery–Cloud Storage integration, improving execution efficiency and reducing pipeline failures.
Data Engineer at AT&T
August 1, 2023 - May 1, 2025Built and optimized ETL pipelines using Azure Data Factory, PySpark, and SQL, loading data from multiple sources into Azure Synapse Analytics for reporting and analytics. Designed and managed Azure Data Lake Storage Gen2 (ADLS) to support scalable storage and efficient processing of large datasets. Optimized Azure Databricks Spark jobs and Synapse SQL queries, achieving up to 30% reduction in data processing time. Implemented Star and Snowflake data models in Synapse to improve BI performance and support Power BI reporting. Ensured reliability, monitoring, and security using Azure Monitor, Log Analytics, Azure AD, RBAC, and encryption.
Application Development Associate at Accenture
September 1, 2021 - July 1, 2022Built and optimized ETL pipelines using Azure Data Factory and SQL, performing complex data transformations and reducing reporting timelines from days to hours. Automated data validation and transformation logic using SQL and PySpark in Azure Databricks, achieving 99% data accuracy and significantly reducing manual intervention. Developed and optimized SQL queries and views in Azure Synapse Analytics to support analytics and reporting, improving data availability and performance for business users. Implemented event-driven workflows using Azure Event Grid, Azure Functions, and Logic Apps to trigger alerts and notifications, improving process compliance and timeliness by 20%. Optimized data storage and query performance using Azure Data Lake Storage Gen2 and Synapse SQL, reducing storage and archival costs by 15% while ensuring scalability.
Education
MS in Computer Science at Texas A&M University-Commerce
August 1, 2022 - May 1, 2024B.Tech in Computer Science at Jawaharlal Nehru Technological University
June 1, 2017 - July 1, 2021MS in Computer Science at Texas A&M University-Commerce
August 1, 2022 - May 1, 2024B.Tech in Computer Science at Jawaharlal Nehru Technological University
June 1, 2017 - July 1, 2021Qualifications
Microsoft Certified: Azure Fundamentals (AZ-900)
January 11, 2030 - January 29, 2026Microsoft Certified: Power Platform Fundamentals (PL-900)
January 11, 2030 - January 29, 2026Microsoft Certified: Data Fundamentals (DP-900)
January 11, 2030 - January 29, 2026Microsoft Certified: Security, Compliance & Identity Fundamentals (SC-900)
January 11, 2030 - January 29, 2026Google Cloud Professional Data Engineer Certification (planned)
January 11, 2030 - January 29, 2026Microsoft Certified: Azure Fundamentals (AZ-900)
January 11, 2030 - January 29, 2026Microsoft Certified: Power Platform Fundamentals (PL-900)
January 11, 2030 - January 29, 2026Microsoft Certified: Data Fundamentals (DP-900)
January 11, 2030 - January 29, 2026Microsoft Certified: Security, Compliance & Identity Fundamentals (SC-900)
January 11, 2030 - January 29, 2026Industry Experience
Software & Internet, Telecommunications, Professional Services, Computers & Electronics, Media & Entertainment
Skills
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