Prakyath Reddy Kandimalla
Dallas,TX
Summary
Results-driven Data Engineer with 4+ years of experience designing, building, and supporting scalable data pipelines across Azure and AWS environments. Strong hands-on experience with Azure Data Factory, Azure SQL, Synapse, Power BI, and SQL-based ETL/ELT pipelines. Proven ability to collaborate with analysts and business stakeholders, ensure data quality, and support CI/CD-driven deployments.
Overview
7
7
years of professional experience
Work History
Data Engineer
Tata Consultancy Services (TCS)
09.2021 - Current
- Designed and maintained Azure Data Factory pipelines to ingest and transform data from multiple source systems into Azure SQL and Synapse, improving data availability and reliability.
- Developed complex SQL transformations and validation queries to ensure data accuracy across staging, ODS, and reporting layers.
- Built and supported Power BI dashboards for operational reporting, data validation, and pipeline health monitoring.
- Collaborated with data analysts and business teams to translate reporting requirements into scalable data models and pipelines.
- Implemented data quality checks, reconciliation logic, and error handling to ensure integrity and compliance of financial datasets.
- Supported CI/CD-based deployments using Git and Azure DevOps, participating in code reviews and release validations.
- Monitored and optimized pipeline performance, reducing data latency and improving SLA adherence by 30–40%.
- Assisted with production support activities including job monitoring, root-cause analysis, and issue resolution.
- Client: PNC Bank
Data Engineer
Dsquare Labs
08.2018 - 11.2019
- Developed SQL- and Python-based ETL processes to integrate data from relational and flat-file sources.
- Assisted in building cloud-based data pipelines using ADF and Spark for analytics and reporting use cases.
- Helped design star and snowflake schemas to support BI reporting and downstream analytics.
- Worked closely with senior engineers to test, deploy, and document data workflows following best practices.
- Supported data visualization efforts using Power BI and Tableau to deliver insights to stakeholders.
Education
Master of Science - Computer Science
University of North Texas
Denton, TXSkills
- Cloud Platforms: Microsoft Azure (ADF, Azure SQL, Synapse Analytics, Azure Data Lake), AWS (S3, Glue, Lambda, EMR)
- Data Engineering: ETL/ELT, Data Integration, Pipeline Orchestration, Data Quality Checks
- Databases: Azure SQL, Snowflake, PostgreSQL, MySQL, Oracle
- Programming: SQL, Python, PySpark, Shell Scripting
- Visualization: Power BI, Tableau
- DevOps & CI/CD: Git, Bitbucket, Azure DevOps (exposure), Airflow scheduling
- Data Modeling: Star & Snowflake Schema
Websites
Timeline
Data Engineer
Tata Consultancy Services (TCS)
09.2021 - Current
Data Engineer
Dsquare Labs
08.2018 - 11.2019
Master of Science - Computer Science
University of North Texas