TATejaswini Alapati
@tejaswinialapati
Experienced Azure Data Engineer with a strong background in data solutions.
United StatesWhat I'm looking for
With over 5 years of experience as a Data Engineer, I specialize in designing, developing, and maintaining scalable and secure data systems across Azure and AWS environments. My expertise spans Azure Data Lake, Data Factory, Databricks, and AWS services like S3 and Redshift. I’ve built and optimized data warehouses—reducing query times by up to 40%—and implemented ETL/ELT pipelines that decreased processing time by 35% and improved reliability across high-volume data operations.
Throughout my career, I’ve successfully integrated data from diverse sources, including Kafka, MongoDB, and REST APIs, using strong programming skills in Python, Java, and SQL. I’m adept at data modeling, mining, and building analytical tools that support advanced analytics—resulting in improved data accessibility and faster decision-making. My collaborative approach ensures seamless data flow and visibility across teams, enabling business and product stakeholders to act on data with confidence.
Experience
Work history, roles, and key accomplishments
Data Engineer
TDECU
Apr 2024 - Present (1 year 4 months)
Experienced in cloud data platforms including Azure, Snowflake, Matillion, and Microsoft Fabric; skilled in data integration using Integration Services, Reporting Services, Analysis Services, and D365 Data Migration. Proficient in ETL/ELT pipeline development using Microsoft Fabric Data Factory and SSIS for integrating data from various sources into data lakes and warehouses.
Data Engineer
InfoVisionInc
Sep 2023 - Apr 2024 (7 months)
Built robust Data Warehouses on Azure using Azure Databricks, Azure Data Factory, and Azure Synapse Analytics, with end-to-end ETL/ELT pipeline development and orchestration. Developed scalable ETL pipelines with Azure Data Factory, Spark SQL, and PySpark to extract, transform, and load data into Azure Data Lake Storage, SQL Database, and Synapse.
Data Engineer
Mantek Solutions Inc.
Oct 2019 - Jul 2023 (3 years 9 months)
Designed scalable data pipelines using AWS services (EC2, S3, EMR, Redshift, Glue, Lambda). Built and optimized Redshift data warehouses with Python and SnowSQL. Led migration of 15+ ETL workflows to Snowflake, improving processing speed and reducing failures, supporting high-volume analytics.
Education
Degrees, certifications, and relevant coursework
UTUniversity of North Texas
Master of Science, Data Engineering
Completed a Master's degree at the University of North Texas. Focused on advanced topics relevant to data engineering and related fields.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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