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Hi, I’m Vinitha Pattepuram, a Data & Business Intelligence Analyst with 5+ years of experience turning complex datasets into clear, actionable insights that inform business and product decisions. I specialize in workforce analytics and customer experience improvements, with strong SQL, Power BI, Tableau, and cloud data platform expertise across SQL Server, PostgreSQL, Azure Synapse Analytics, Data Factory, and Databricks.\n\nI enjoy collaborating with cross-functional teams to translate requirements into practical BI solutions, tell compelling data stories, and establish governance that drives end-user adoption. I’m passionate about continuous improvement and using data to unlock operational efficiencies and better customer outcomes.…Hi, I’m Vinitha Pattepuram, a Data & Business Intelligence Analyst with 5+ years of experience turning complex datasets into clear, actionable insights that inform business and product decisions. I specialize in workforce analytics and customer experience improvements, with strong SQL, Power BI, Tableau, and cloud data platform expertise across SQL Server, PostgreSQL, Azure Synapse Analytics, Data Factory, and Databricks.\n\nI enjoy collaborating with cross-functional teams to translate requirements into practical BI solutions, tell compelling data stories, and establish governance that drives end-user adoption. I’m passionate about continuous improvement and using data to unlock operational efficiencies and better customer outcomes.

Vinitha Pattepuram

Data Analyst, Data Scientist, Full Stack Developer, +1

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Hi, I’m Vinitha Pattepuram, a Data & Business Intelligence Analyst with 5+ years of experience turning complex datasets into clear, actionable insights that inform business and product decisions. I specialize in workforce analytics and customer experience improvements, with strong SQL, Power BI, Tableau, and cloud data platform expertise across SQL Server, PostgreSQL, Azure Synapse Analytics, Data Factory, and Databricks.\n\nI enjoy collaborating with cross-functional teams to translate requirements into practical BI solutions, tell compelling data stories, and establish governance that drives end-user adoption. I’m passionate about continuous improvement and using data to unlock operational efficiencies and better customer outcomes.…Hi, I’m Vinitha Pattepuram, a Data & Business Intelligence Analyst with 5+ years of experience turning complex datasets into clear, actionable insights that inform business and product decisions. I specialize in workforce analytics and customer experience improvements, with strong SQL, Power BI, Tableau, and cloud data platform expertise across SQL Server, PostgreSQL, Azure Synapse Analytics, Data Factory, and Databricks.\n\nI enjoy collaborating with cross-functional teams to translate requirements into practical BI solutions, tell compelling data stories, and establish governance that drives end-user adoption. I’m passionate about continuous improvement and using data to unlock operational efficiencies and better customer outcomes.

Available to hire

Hi, I’m Vinitha Pattepuram, a Data & Business Intelligence Analyst with 5+ years of experience turning complex datasets into clear, actionable insights that inform business and product decisions. I specialize in workforce analytics and customer experience improvements, with strong SQL, Power BI, Tableau, and cloud data platform expertise across SQL Server, PostgreSQL, Azure Synapse Analytics, Data Factory, and Databricks.\n\nI enjoy collaborating with cross-functional teams to translate requirements into practical BI solutions, tell compelling data stories, and establish governance that drives end-user adoption. I’m passionate about continuous improvement and using data to unlock operational efficiencies and better customer outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

BI & Data Analyst / SQL Developer at CIBC Bank

April 1, 2024 - November 5, 2025

Designed and managed Power BI dashboards and paginated reports to support financial and operational decision-making. Collaborated with business teams to define metrics and translate data requirements into impactful visualizations. Created SQL queries and stored procedures for data validation and profiling across multiple systems. Enhanced data governance and monitoring frameworks to ensure data quality and compliance. Leveraged Azure Synapse Analytics and Data Factory to manage large datasets and automate refresh schedules. Inventoryed and consolidated multiple internal and external data sources for integrated reporting. Performed data cleaning, transformation, and validation to prepare dashboard-ready datasets. Developed relational structures and summary tables to support interactive dashboards.

BI and DB Developer at S&P Global, USA

March 1, 2024 - March 1, 2024

Built interactive dashboards and reports in Power BI and Tableau to monitor product usage, customer engagement, and financial KPIs. Partnered with product and operations teams to interpret analytics and inform data-driven decisions. Optimized SQL queries and ETL workflows to ensure timely and accurate data delivery. Conducted exploratory data analysis to identify performance trends and process improvement opportunities. Developed and maintained technical documentation for datasets and data models, improving transparency and maintainability. Presented analytical insights to stakeholders, simplifying technical data into clear business narratives. Supported design and testing of dashboard prototypes for executive reporting.

ETL Developer at Vivaan Tech, India

July 1, 2022 - July 1, 2022

Developed and maintained SSIS packages and ETL pipelines supporting BI and analytics initiatives. Designed Power BI content packs and reusable templates for efficient report creation. Created SQL queries powering interactive reports and dashboards. Collaborated with analysts and data engineers to deliver accurate insights aligned with business goals. Supported data quality validation and lineage documentation for compliance and accuracy. Developed consolidated datasets and ensured data governance practices were applied consistently.