Tejaswini User
@tejaswiniuser
I am an Azure Data Engineer specializing in scalable cloud data platforms.
What I'm looking for
I have over 5 years of experience designing, developing, and maintaining scalable, secure, and reliable data systems across diverse environments. I specialize in Azure services including Data Lake, Data Factory, Databricks, Synapse, and Azure SQL Database, and I bring strong ETL expertise with Spark, Databricks, SSIS, and Python.
I have built robust data warehouses and end-to-end ETL/ELT pipelines on Azure and AWS, led SQL database migrations to cloud ecosystems, and implemented real-time analytics using Kafka, Spark Streaming, and Azure Stream Analytics. I am experienced with Snowflake performance tuning, DBT automation, infrastructure-as-code with Terraform and CloudFormation, and CI/CD pipelines using Jenkins and Azure DevOps.
I collaborate effectively with cross-functional teams, translating business requirements into production-ready data solutions while emphasizing automation, observability, and performance. I am motivated to deliver data platforms that enable analytics and drive measurable business impact.
Experience
Work history, roles, and key accomplishments
Data Engineer
TDECU
May 2024 - Present (1 year 4 months)
Designed and maintained scalable ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory, Databricks, and Snowflake to integrate enterprise data into lakehouse and warehouse architectures. Collaborated with cross-functional teams to support analytics, reporting, and regulatory data requirements.
Data Engineer
InfoVision Inc
Sep 2023 - Apr 2024 (7 months)
Built end-to-end Azure data warehouses and scalable ETL pipelines using Azure Data Factory, Databricks, and Synapse; implemented real-time analytics with Kafka and Azure Stream Analytics. Optimized DBT and Spark jobs and managed deployments via ARM templates and automation scripts.
Data Engineer
Mantek Solutions Inc
Oct 2019 - Jul 2023 (3 years 9 months)
Architected and optimized AWS-based data platforms using S3, EMR, Redshift, Glue, and Snowflake and developed ETL pipelines with PySpark and Airflow for analytical workloads. Implemented infrastructure as code with Terraform/CloudFormation and automated CI/CD for data workflows.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master's degree
Completed a Master's degree at the University of North Texas.
Availability
Location
Authorized to work in
Job categories
Skills
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