I'm a Data Analyst with 4+ years of experience turning complex datasets into actionable insights. I design ETL/ELT pipelines, validate and clean data across Azure Data Lake Gen2, SQL Server, and on-prem sources, and I work with SQL, Spark SQL, and Python (pandas, NumPy, PySpark). I also build interactive dashboards in Tableau and Power BI to help stakeholders make data-driven decisions.\n\nI automate workflows, monitor data pipelines, and collaborate in Agile environments to deliver reliable analytics solutions. I have experience with A/B testing, regression analysis, hypothesis testing, and ad-hoc analyses that inform product and business strategies, delivering near real-time visibility into KPIs, trends, and anomalies.

Reshank Reddy

I'm a Data Analyst with 4+ years of experience turning complex datasets into actionable insights. I design ETL/ELT pipelines, validate and clean data across Azure Data Lake Gen2, SQL Server, and on-prem sources, and I work with SQL, Spark SQL, and Python (pandas, NumPy, PySpark). I also build interactive dashboards in Tableau and Power BI to help stakeholders make data-driven decisions.\n\nI automate workflows, monitor data pipelines, and collaborate in Agile environments to deliver reliable analytics solutions. I have experience with A/B testing, regression analysis, hypothesis testing, and ad-hoc analyses that inform product and business strategies, delivering near real-time visibility into KPIs, trends, and anomalies.

Available to hire

I’m a Data Analyst with 4+ years of experience turning complex datasets into actionable insights. I design ETL/ELT pipelines, validate and clean data across Azure Data Lake Gen2, SQL Server, and on-prem sources, and I work with SQL, Spark SQL, and Python (pandas, NumPy, PySpark). I also build interactive dashboards in Tableau and Power BI to help stakeholders make data-driven decisions.\n\nI automate workflows, monitor data pipelines, and collaborate in Agile environments to deliver reliable analytics solutions. I have experience with A/B testing, regression analysis, hypothesis testing, and ad-hoc analyses that inform product and business strategies, delivering near real-time visibility into KPIs, trends, and anomalies.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Data Analyst at Capital One
December 1, 2022 - November 4, 2025
Designed and maintained ETL/ELT pipelines across Azure Data Lake Gen2, SQL Server, and on-prem sources, with validation and cleaning steps to deliver trusted datasets. Built streaming data ingestion pipelines using Azure Event Hubs, Data Factory, and Databricks for near real-time analytics on application telemetry. Optimized SQL and Spark SQL queries in Databricks, processing multi-million-row datasets and reducing runtimes by ~30%. Automated recurring workflows with Python and SQL, improving reproducibility and reducing manual reporting by ~25%. Engineered analytics tables and data models to feed Tableau and Power BI dashboards, delivering near real-time visibility into KPIs and anomalies. Implemented data quality checks and anomaly detection to strengthen trust in analytics outputs. Collaborated with product, finance, and operations in an Agile/Jira environment to align data solutions with business priorities and accelerate delivery. Supported ad-hoc analyses and advanced reporting t
Data Analyst at Nova Hire Tech
November 1, 2020 - November 1, 2020
Collected, cleaned, and standardized multi-source datasets using Python (pandas, NumPy); built reproducible pipelines for cleaning, transforming, and validating data to support downstream reporting and self-serve analytics. Created 10 interactive dashboards in Tableau and Power BI, defined KPIs, and scheduled refreshes to accelerate stakeholder adoption. Performed descriptive and trend analytics with SQL and Python, delivering cohort, funnel, segmentation, and retention insights guiding strategic initiatives. Wrote advanced SQL with window functions, CTEs, and joins to produce analysis-ready views. Connected Power BI to SQL Server and Snowflake, authored DAX measures, and automated refreshes to improve consistency. Implemented data validation and anomaly checks and documented data issues to maintain SLA expectations. Scheduled dataset refreshes via Azure Data Factory to support global users. Designed and executed A/B tests and hypothesis-driven analyses, delivering recommendations that

Education

MS in Information Systems at De Paul University
January 1, 2021 - November 1, 2022
Bachelor of Technology in Mechanical Engineering at JNTUH
June 1, 2014 - December 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services