Home

Venkata Sai M - Senior Data Analyst / Data Engineer

[email protected]

Location: Sunnyvale, California, USA

Relocation: YES

Visa: GC

Resume file: Venkata Sai Sr.Data_Analyst_Resume_1749478665639.docx Please check the file(s) for viruses. Files are checked manually and then made available for download.

Profile Summary: Venkata Sai M Senior Data Analyst / Data Engineer Overview: Venkata Sai is a seasoned Senior Data Analyst and Data Engineer with over 10 years of progressive experience in data analytics, data engineering, cloud-based data solutions, and business systems analysis. He specializes in end-to-end data pipeline development, cloud data architecture, data governance, and advanced analytics across diverse industries, including healthcare, retail, and finance. Core Competencies & Strengths: Data Engineering & ETL/ELT: Expert in building scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, AWS Glue, and Snowflake, supporting modern data architectures like medallion layers (Bronze/Silver/Gold). Deep understanding of SQL, Spark SQL, PL/SQL, and Python for robust data extraction, transformation, and aggregation. Cloud Platforms Expertise: Azure: Azure Synapse, Azure SQL, Purview, Key Vault, Data Lake, Azure Functions AWS: Glue, S3, Athena, Lambda, Redshift, DynamoDB Proficient in hybrid cloud integration across AWS, Azure, and GCP ecosystems. Data Warehousing & Analytics: Certified Snowflake SnowPro Core & Advanced Architect Professional Strong in Power BI, Tableau, AWS QuickSight, ThoughtSpot for visualization and reporting. Experienced in data governance using Microsoft Purview and security integration via Azure Entra ID and RBAC. DevOps & Automation: Skilled in CI/CD with Azure DevOps, Git, Terraform, and infrastructure automation with ARM Templates. Familiar with Docker, Jenkins, Apache Airflow, and automated testing for deployment optimization. Healthcare Data Integrations: Hands-on experience with AthenaHealth, EMR/EHR/HL7 integration, improving data migration accuracy and system onboarding for healthcare practices. Business & Stakeholder Collaboration: Proficient in Agile/Scrum methodologies, collaborating with stakeholders, product owners, and cross-functional teams to deliver actionable data insights. Professional Experience Highlights: Abbott (2023 Present): Built and optimized cloud-based ETL pipelines using AWS Glue and Athena, managed Athena Health integrations, supported healthcare data compliance, and developed Power BI and QuickSight dashboards. L&T (2021 2023): Migrated data warehouses to GCP, leveraged Power BI and Azure services for advanced data visualization and reporting automation, and implemented CI/CD pipelines via Azure DevOps. State of Georgia (2018 2020): Specialized in geospatial analytics, data wrangling, SQL (Snowflake), and predictive modeling with Python and R, delivering interactive dashboards and supporting strategic decisions. TJX Companies (2016 2018): Created and optimized ADF/Databricks pipelines, used ARM templates & Terraform for infrastructure, and enhanced ETL processes using Python, Scala, and PySpark for improved operational efficiency. Tecordeon Soft Sol (2014 2016): Developed large-scale BI solutions using Azure SQL, Power BI, and Informatica, while improving reporting automation and supporting financial KPIs. Technical Skill Snapshot: Languages: Python, SQL, Scala, R Databases: Snowflake, Azure SQL, Redshift, DynamoDB, MySQL, MongoDB Cloud Platforms: Azure (ADF, Databricks, Synapse), AWS (Glue, S3, Redshift), GCP Data Engineering Tools: PySpark, Informatica, Talend, Alteryx BI Tools: Power BI, Tableau, AWS QuickSight, SAP BO Automation & DevOps: Jenkins, Terraform, Azure DevOps, Git, Docker Other Tools: Apache Kafka, Airflow, JIRA, MS Visio, Microsoft Purview Certifications: Snowflake SnowPro Core Certified Snowflake Advanced Architect Certified Keywords: continuous integration continuous deployment business intelligence sthree rlang microsoft procedural language Idaho