About
Highly skilled Data Analyst with 3+ years of experience, specializing in end-to-end data analysis lifecycle, from wrangling to advanced visualization and statistical modeling. Proven expertise in cloud platforms (Azure, AWS), big data technologies (Databricks, Spark), and BI tools (Power BI, Tableau), driving data-driven insights and scalable solutions across diverse industries. Combines strong technical proficiency in SQL, Python, and R with robust data governance and cross-functional collaboration skills in Agile environments.
Work
Wilmington, DE, US
→
Summary
Led data analysis and BI solution development, integrating diverse data sources to deliver strategic insights and enhance reporting efficiency for stakeholders.
Highlights
Designed and implemented scalable BI solutions using Power BI, Tableau, and QlikView, integrating with Azure SQL, Synapse, and Snowflake to deliver actionable data stories.
Automated data ingestion pipelines with Azure Data Factory, Databricks (PySpark), and Python, unifying data from SAP, Salesforce, and REST APIs.
Built performance-optimized Power BI composite models (DirectQuery/Import), reducing dashboard load times by 50% and enhancing user experience.
Developed real-time KPI dashboards via Power BI Service and created Excel VBA dashboards, decreasing finance team's manual audit effort by 30%.
Implemented robust data governance measures including data masking, sensitivity labeling (Microsoft Purview), and row-level security (RLS) in Power BI for PII/PHI compliance.
Hyderabad, Telangana, India
→
Summary
Optimized data processing, built predictive models, and delivered dynamic dashboards to enhance marketing and supply chain analytics.
Highlights
Delivered dynamic dashboards in Tableau and Power BI, automating reports that previously required 10+ hours/week manually, boosting reporting efficiency.
Implemented serverless ETL using AWS Glue, Lambda, and Python for lightweight reporting flows, improving data pipeline performance.
Developed predictive models in IBM SPSS for churn risk classification and customer LTV forecasting, enabling data-driven marketing strategies.
Optimized storage usage and reduced AWS costs by implementing S3 lifecycle policies and partitioning strategies for archived analytics data.
Created reusable Python functions to automate file ingestion, cleaning, and formatting across multiple marketing data sources, streamlining data preparation.
Hyderabad, Telangana, India
→
Summary
Supported data analysis, profiling, and validation, ensuring data quality and consistency while gathering requirements for actionable insights.
Highlights
Performed comprehensive data analysis and validation through SQL queries, ensuring data accuracy and integrity for reporting.
Utilized Jupyter Notebook for data cleaning, preprocessing, and Google Analytics to generate customized reports and actionable insights.
Executed data wrangling and transformation tasks using Azure Data Factory and Databricks, ensuring high data quality and consistency.
Managed and optimized data storage solutions on Azure (SQL Database, Data Lake, Blob Storage) and Hadoop clusters, enhancing query performance and cost efficiency.
Gathered detailed business requirements through JAD sessions, interviews, and surveys, translating them into technical specifications for development.
Certificates
Skills
Languages & Scripting
Python, R, SQL, DAX, SAS, Excel VBA, Shell Script.
Databases
SQL Server, PostgreSQL, Oracle DB, MySQL, MongoDB, Redshift, Teradata, Azure SQL, AWS RDS.
Visualization Tools
Power BI, Tableau, QlikView, Looker Studio, Google Analytics, Excel, IBM SPSS.
Cloud Platforms
Azure (ADF, Synapse, Blob, ADLS, Key Vault), AWS (S3, Lambda, Glue, EC2, RDS, CloudWatch).
Big Data & ETL
Hadoop, Spark, PySpark, Azure Databricks, AWS Glue, Azure Data Factory, SSIS, Airflow.
Machine Learning/Statistics
Scikit-learn, RStudio, SPSS, Regression, Clustering, Forecasting, Hypothesis Testing.
Version Control & Collaboration
Git, JIRA, Azure DevOps, Jupyter Notebooks, Confluence.
Methodologies
SDLC, Agile, Scrum, RUP, Waterfall.
Data Governance & Security
Azure Purview, Apache Atlas, IAM, GDPR, HIPAA, Data Lineage.