I am a Data Engineer with 5+ years of IT experience across diverse industries, specializing in designing and developing scalable big data pipelines, data lakes, and ETL/ELT workflows on cloud platforms like AWS, Azure, and GCP. I have a solid understanding of all stages in a typical SDLC, from requirement analysis to deployment and support, and I enjoy turning complex data problems into scalable solutions. My expertise includes Databricks and big data technologies, Spark architecture, data ingestion and modeling, and cloud-native services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, and Dataflow. I collaborate effectively with cross-functional teams to translate business requirements into robust data models and optimized ETL/ELT processes.

Sai Sree

I am a Data Engineer with 5+ years of IT experience across diverse industries, specializing in designing and developing scalable big data pipelines, data lakes, and ETL/ELT workflows on cloud platforms like AWS, Azure, and GCP. I have a solid understanding of all stages in a typical SDLC, from requirement analysis to deployment and support, and I enjoy turning complex data problems into scalable solutions. My expertise includes Databricks and big data technologies, Spark architecture, data ingestion and modeling, and cloud-native services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, and Dataflow. I collaborate effectively with cross-functional teams to translate business requirements into robust data models and optimized ETL/ELT processes.

Available to hire

I am a Data Engineer with 5+ years of IT experience across diverse industries, specializing in designing and developing scalable big data pipelines, data lakes, and ETL/ELT workflows on cloud platforms like AWS, Azure, and GCP. I have a solid understanding of all stages in a typical SDLC, from requirement analysis to deployment and support, and I enjoy turning complex data problems into scalable solutions.

My expertise includes Databricks and big data technologies, Spark architecture, data ingestion and modeling, and cloud-native services such as AWS Glue, Redshift, Azure Data Factory, BigQuery, and Dataflow. I collaborate effectively with cross-functional teams to translate business requirements into robust data models and optimized ETL/ELT processes.

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Experience Level

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Intermediate
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Language

English
Advanced

Work Experience

Data Engineer at Emigrant Bank
December 1, 2024 - October 31, 2025
Architected end-to-end ETL pipelines using Azure Data Factory, SSIS, and HDInsight to ingest data into Azure SQL DB, Azure Data Lake, and Azure Synapse. Led a one-time large-scale data migration from on-prem Oracle to Azure SQL Data Warehouse, including star schema design and optimization. Implemented data profiling, cleansing, rollback frameworks, automated batch restarts, data masking, and encryption. Built real-time streaming pipelines with Kafka and Spark Structured Streaming, and optimized data wrangling in Databricks notebooks for Delta Tables. Designed and managed pipelines with ADF features such as lookup, data flows, and copy activities; performed preliminary data analysis and anomaly handling.
Data Engineer at Tenet Healthcare
November 30, 2024 - November 30, 2024
Developed and maintained ETL data pipelines to load data into the data warehouse; tuned complex SQL queries for performance improvements; deployed Cloudera Hadoop for large-scale distributed processing and created Hive tables and queries on HDFS. Built data visualizations in Tableau and Power BI to support analytics. Implemented CI/CD practices and led data migration from on-premises systems to AWS storage, and orchestrated data ingestion using Airflow pipelines.
Data Engineer at iConcept Software Services Pvt. Ltd.
August 31, 2023 - August 31, 2023
Engineered near real-time pipelines using Apache Spark and Cloud Dataproc to enable event-driven analytics on high-volume datasets. Developed Python scripts for data cleansing, transformation, integration, and migration, incorporating complex SQL logic. Built pipelines in Azure Data Factory using linked services/datasets/pipeline to ingest from diverse sources to Azure Data Storage services, and processed data in Azure Databricks. Collaborated with data scientists and engineers to prepare large-scale datasets for AI/ML workflows.

Education

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Qualifications

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Industry Experience

Software & Internet, Professional Services