Data Analyst Power Bi

Harish Bharathapu

***********@*****.*** +1-859-***-**** MO, USA LinkedIn

SUMMARY

Data Analyst with 4+ years of experience delivering analytics solutions across enterprise and cloud-native environments, specializing in Python, SQL, and BI tools to transform complex data into actionable insights. Skilled in building ETL pipelines, data models, and predictive analytics using Databricks, Snowflake, and Azure, with proven success in improving reporting speed, forecasting accuracy, and operational efficiency. Adept at designing interactive dashboards, automating workflows, and enabling self-service analytics that empower business stakeholders and drive measurable revenue growth. TECHNICAL SKILLS

Programming & Data Processing: Python, Pandas, NumPy, Matplotlib, Scikit-learn, Advanced SQL, Shell Scripting, Bash Data Visualization Tools: Power BI, Tableau, Looker, Excel Pivot Tables, VLOOKUP, Dashboards, Macros, Seaborn, DAX Databases & Query Engines: Snowflake, Google BigQuery, Microsoft Access Cloud, Data Engineering & Automation: AWS S3, EC2, Athena, Azure Data Studio, Azure Synapse, dbt, Airflow, API Integration, ETL Pipelines with Python, Data Cleaning and Transformation, Batch Processing, Apache Spark, DataFrame Optimization

Analytics & Business Intelligence: KPI Tracking, Trend Analysis, Forecasting, A/B Testing, Data Validation, Data Modeling Star Schema, Data Modeling Snowflake Schema, Data Governance, Data Quality Monitoring, Root Cause Analysis, Cross- Team Reporting, Google Analytics

Collaboration & Version Control: Git, JIRA, Confluence, Agile Scrum, Slack, MS Teams, Google Docs, Notion Compliance & Privacy: GDPR, HIPAA

PROFESSIONAL EXPERIENCE

Data Analyst, Databricks Nov 2023 – Present Remote, USA

Built and optimized ETL pipelines on Databricks using Python, SQL, and PySpark, reducing data preparation times by 70% and enabling faster delivery of analytics-ready datasets to business teams.

Designed and maintained Delta Lake architectures handling 200M+ records, improving query performance by 45% and ensuring high reliability for advanced reporting across multiple departments.

Integrated Databricks with Azure Synapse and Snowflake, creating seamless data flows that supported 500+ users with real- time analytics and cross-platform accessibility.

Developed machine learning models in Databricks MLflow for demand forecasting, increasing accuracy by 20% and generating an estimated $1.8M in additional annual revenue.

Automated dashboard refreshes and reporting pipelines in Power BI and Tableau via Databricks SQL, boosting leadership engagement by 2x and reducing reporting cycle time by 35%.

Conducted knowledge-sharing sessions for 50+ analysts and engineers on Databricks best practices, increasing adoption rates of Databricks notebooks and collaborative workflows by 60% Data Analyst, DXC Technology Jan 2021 – Jun 2023 Remote, India

Delivered analytics solutions by integrating SAP, ServiceNow, and CRM data into SQL-based data marts, streamlining reporting processes across 10+ enterprise accounts and improving overall operational efficiency significantly.

Automated recurring Excel and VBA-based reporting frameworks, reducing manual effort by 60%, eliminating frequent compliance reporting errors, and saving over 120 analyst hours monthly across client engagements.

Designed and deployed KPI dashboards in Power BI and Tableau to monitor IT service performance, enabling clients to improve SLA compliance, accelerate incident resolution, and enhance transparency.

Partnered with cross-functional operations and quality teams to perform root cause analysis on 30+ recurring disruptions, delivering insights that reduced escalations by 18% and improved customer satisfaction.

Standardized data reporting procedures across multiple client portfolios, creating reusable templates, documentation, and workflows, reducing onboarding time for analysts and accelerating new report development by more than 40%.

Conducted workshops for 25+ analysts and stakeholders on BI tools, dashboard development, and reporting best practices, resulting in 50% increase in adoption of self-service analytics solutions.

Implemented robust data validation checks and governance processes to ensure 97%+ accuracy across client reporting, strengthening regulatory compliance and improving stakeholder confidence in financial and healthcare projects. EDUCATION

Master of Science, Indiana Wesleyan University Jul 2023 – Dec 2024 KY, USA Information Technology Management

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