Data Engineer Senior

Sai Surya Burra

Fort-Lauderdale, FL **.********@*****.*** 786-***-**** LinkedIn

Results-driven Senior Data Engineer with 5 years of experience in building scalable cloud-based data pipelines, real-time streaming, and ETL workflows. Expertise in Azure (ADF, Databricks), AWS (Redshift, Glue), and Big Data tools (Kafka, Spark). Proven track record of optimizing query performance (40% gain), reducing costs (25%), and enabling real-time BI insights. Passionate about automation, data governance, and cloud engineering. Seeking a role to drive efficiency and scalability in data platforms. EDUCATION

Atlantis University Miami, Florida

Master of Science in Information Technology: GPA 3.7/4.0 Sep 2021 - Mar 2023 Jawaharlal Nehru Technological University Hyderabad, India Bachelor of Science in Computer Science: GPA 3.5/4.0 Aug 2015 - May 2019 TECHNICAL SKILLS

• ETL & Data Engineering: Azure Data Factory (ADF), AWS Glue, Apache Spark, Kafka, Airflow, dbt, Informatica, SSIS, Talend, Snowflake, SQL-based ETL Automation, Batch & Streaming Data Processing.

• Cloud & Big Data Technologies: Azure (Databricks, Synapse, Purview), AWS (Redshift, Lambda, S3, DynamoDB), GCP (BigQuery), Hadoop, HBase, Terraform.

• Programming & Development: SQL, Python (Pandas, NumPy, Scikit-learn), PySpark, Scala, Docker, Kubernetes, Git, Jenkins, GitLab CI/CD.

• Data Visualization & Governance: Power BI, Tableau, AWS QuickSight, Looker, Data Masking, GDPR & HIPAA Compliance, Azure Purview.

• Project Management & Agile Development: Agile, Scrum, Waterfall, JIRA, Confluence. EXPERIENCE

Verizon Connect Miami, Florida

Senior Data Engineer Mar 2023 - Present

• Optimized ETL pipelines with ADF, Spark, and Databricks, boosting data speed by 30% and enabling real-time insights.

• Automated SQL/Python reporting workflows, cutting manual errors by 30% and enhancing data accuracy.

• Developed scalable EHR, claims, and IoT pipelines, achieving 99.9% uptime and seamless integration.

• Led data migration to Azure Synapse Analytics, boosting query performance by 40% and enabling real-time business intelligence.

• Developed Power BI/Tableau dashboards, reducing reporting time by 50% and improving decision-making.

• Optimized Spark execution and partitioning, reducing Azure costs by 20% while maintaining compliance. Vivaan Techno Solutions Hyderabad, India

Associate Data Engineer May 2019 – Aug 2021

• Optimized AWS Glue and Spark ETL pipelines, improving data speed by 30% and quality by 20%.

• Migrated terabytes from Oracle/MySQL to Redshift, boosting query speed by 35%.

• Engineered Kafka-HDFS pipelines, processing millions of daily events for customer insights.

• Built AWS Lambda serverless solutions, cutting infrastructure costs by 25%.

• Optimized Amazon Redshift queries, reducing execution time by 40% and lowering storage costs through compression techniques. Triculin Technologies Private Limited Hyderabad, India Data Engineer (Intern) Oct 2018 - Apr 2019

• Built scalable Snowflake ETL pipelines, improving query speed by 35%.

• Automated ingestion & transformation with Python/Spark, reducing manual work by 50%.

• Designed Hadoop and HBase-based storage solutions, improving data retrieval speed and supporting high-volume enterprise applications.

• Enhanced ETL validation, improving data consistency by 20%. ACADEMIC PROJECTS

Real-Time Data Processing for IoT-Based Healthcare Monitoring

• Built a real-time data pipeline to process IoT-generated health data from wearable devices, ensuring low-latency streaming and anomaly detection.

• Implemented Kafka for event-driven streaming, Apache Spark for real-time analytics, and stored data in AWS Redshift for reporting.

• Integrated Power BI dashboards provide insights into patient health trends, reducing data processing time by 40%. Scalable Cloud-Based Data Warehouse for E-Commerce Analytics

• Designed a serverless data warehouse using Snowflake for e-commerce analytics.

• Developed ETL pipelines using Apache Airflow & AWS Glue, automating data ingestion & transformation.

• Optimized SQL queries & partitioning, improving query performance by 35%.

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