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I am a data professional with 4+ years of experience building and automating cloud-based data pipelines using Python and SQL to support analytics at scale. I have hands-on experience with Azure Data Factory, Databricks, data warehousing, and data validation/profiling, and I bring strong production support skills including incident triage and root-cause analysis. I am authorized to work in the U.S. on STEM OPT. I enjoy collaborating with business stakeholders, analysts, and data architects to translate requirements into robust data models, transformations, and test cases. I also have a foundation in machine learning and exploratory data analysis using notebooks.…I am a data professional with 4+ years of experience building and automating cloud-based data pipelines using Python and SQL to support analytics at scale. I have hands-on experience with Azure Data Factory, Databricks, data warehousing, and data validation/profiling, and I bring strong production support skills including incident triage and root-cause analysis. I am authorized to work in the U.S. on STEM OPT. I enjoy collaborating with business stakeholders, analysts, and data architects to translate requirements into robust data models, transformations, and test cases. I also have a foundation in machine learning and exploratory data analysis using notebooks.

Venkata Suma Priya Kankipati

Data Scientist, Data Analyst, Data Visualizer, +3

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I am a data professional with 4+ years of experience building and automating cloud-based data pipelines using Python and SQL to support analytics at scale. I have hands-on experience with Azure Data Factory, Databricks, data warehousing, and data validation/profiling, and I bring strong production support skills including incident triage and root-cause analysis. I am authorized to work in the U.S. on STEM OPT. I enjoy collaborating with business stakeholders, analysts, and data architects to translate requirements into robust data models, transformations, and test cases. I also have a foundation in machine learning and exploratory data analysis using notebooks.…I am a data professional with 4+ years of experience building and automating cloud-based data pipelines using Python and SQL to support analytics at scale. I have hands-on experience with Azure Data Factory, Databricks, data warehousing, and data validation/profiling, and I bring strong production support skills including incident triage and root-cause analysis. I am authorized to work in the U.S. on STEM OPT. I enjoy collaborating with business stakeholders, analysts, and data architects to translate requirements into robust data models, transformations, and test cases. I also have a foundation in machine learning and exploratory data analysis using notebooks.

Available to hire

I am a data professional with 4+ years of experience building and automating cloud-based data pipelines using Python and SQL to support analytics at scale. I have hands-on experience with Azure Data Factory, Databricks, data warehousing, and data validation/profiling, and I bring strong production support skills including incident triage and root-cause analysis. I am authorized to work in the U.S. on STEM OPT.

I enjoy collaborating with business stakeholders, analysts, and data architects to translate requirements into robust data models, transformations, and test cases. I also have a foundation in machine learning and exploratory data analysis using notebooks.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Engineer at Inspire Brands

March 1, 2023 - January 31, 2024

Designed, automated, and supported cloud-based data pipelines using Azure Data Factory and Azure Databricks to deliver analytics-ready datasets. Developed Python and SQL notebook workflows for data validation, profiling, and quality checks to ensure accuracy across downstream reporting systems. Performed production incident triage and root-cause analysis; implemented permanent fixes and optimized batch job performance to improve reliability and SLA adherence. Collaborated with business stakeholders, analysts, and data architects to translate requirements into data models, transformations, and test cases. Monitored scheduled batch workflows and performed systematic debugging across development, test, and production environments to ensure data freshness and SLA compliance.

Senior Systems Engineer - ETL Developer at Infosys Ltd

April 1, 2020 - March 31, 2023

Built and validated ETL workflows to consolidate data from multiple source systems into unified reporting structures. Performed source-to-target mapping, preload validation, and transformation checks to ensure data consistency post-migration. Supported data integration deliverables in an Agile development environment. Provided Azure Data Factory and Databricks production support; investigated and resolved pipeline failures across SQL Server and Databricks through detailed root-cause analysis and configuration tuning. Built reusable Databricks SQL/Python notebooks to standardize complex joins and aggregations, reducing query runtime by ~35–50% and saving 5–8 analyst hours per week. Collaborated with DataOps, Microsoft Support, and business users to resolve data discrepancies and improve pipeline stability. Mentored new team members and contributed to process standardization.