Data Engineer Power Bi

Summary

Venkata Subbareddy Lebaku

+1-773-***-**** ***********************@*****.*** linkedin.com/in/lvsubbareddy Results-driven Data Engineer with 2+ years of experience designing, building, and optimizing large-scale data pipelines, cloud-based data platforms, and ETL workflows. Skilled in SQL, Python, Spark, Databricks, AWS, and Power BI, with expertise in data modeling, infrastructure automation, and real- time analytics. Adept at collaborating with cross-functional teams to deliver scalable, secure, and cost-optimized data solutions that drive business insights across energy trading, supply chain, and commercial analytics domains. Education

Webster University, San Antonio, TX Aug 2023 – Aug 2025 Master of Arts in Information Technology and Management - Coursework: Data Visualization CGPA: 3.54/4 New Horizon College of Engineering, Bangalore, India Aug 2019 – May 2023 Bachelor of Science in Computer science and engineering – Coursework: Python, Computer Networks, DBMS CGPA: 3.52/4 Technical Skills

• Programming & Query Languages: Python, Java, Scala, SQL, T-SQL, DAX

• Data Engineering & ETL Tools: Databricks, Azure Data Factory, Spark, Delta Lake, Kafka, Snowflake, Synapse Analytics

• Databases & Warehousing: SQL Server, MySQL, PostgreSQL, Google BigQuery

• Analytics & BI: Power BI (DAX), Tableau, Scikit-learn (feature engineering, model building, evaluation)

• DevOps & Collaboration Platforms: Azure DevOps (CI/CD), GitHub, JIRA, Confluence, Microsoft Teams

• Core Competencies & Soft Skills: Data quality validation, pipeline debugging, anomaly detection, stakeholder communication, problem-solving, adaptability, agile delivery, teamwork, documentation Experience

Data Engineer Aug 2023 – Present

Oracle – USA Remote

• Designed and automated ETL pipelines integrating ERP, CRM, and market data into a cloud-based data warehouse, improving data availability for trading and analytics teams.

• Built and optimized SQL queries, Spark jobs, and Databricks workflows to process structured and unstructured datasets, reducing pipeline latency by 30%.

• Developed Power BI dashboards and data models to support P&L monitoring, compliance metrics, and logistics KPIs.

• Implemented data governance and quality checks with automated alerts for missing, duplicate, or delayed data.

• Partnered with traders, risk managers, and data scientists to design scalable data products supporting predictive analytics and forecasting models.

• Enhanced pipeline monitoring and incident resolution by implementing observability solutions with logging and alerts. Data Engineer Intern Jan 2023 – Jun 2023

Oracle – INDIA Bangalore, India

• Automated procurement workflows with SQL/ETL scripts, cutting errors by 30% and reducing processing time by 20%.

• Built Tableau dashboards for vendor performance, inventory aging, and shipment monitoring, improving visibility across supply chain operations.

• Conducted root-cause analysis on delayed shipments, recommending layout changes that reduced dwell times.

• Supported Agile delivery by collaborating with product owners, developers, and engineers in sprint planning and backlog grooming. Projects

Zillow House Value Prediction SQL, Python, Power BI

• Designed ETL pipelines to extract and preprocess housing datasets.

• Developed ML models in Python with 90% accuracy for price prediction.

• Built Power BI dashboards for interactive exploration of geographic price trends. Rice Leaf Disease detection TensorFlow, OpenCV, Convolutional Neural Networks (CNN)

• Developed a CNN model to detect rice leaf diseases from images with over 92% accuracy.

• Used OpenCV for real-time image processing and segmentation.

• Applied the model in an agricultural context to improve early disease diagnosis. AI-Powered Delivery Route Optimization Python, Pandas, Geopandas, Matplotlib, Data bricks

• Conducted logistics and delivery data analysis in Databricks to pinpoint regions with frequent delays.

• Developed and implemented Python optimization scripts to design more efficient delivery routes.

• Applied geospatial analysis through GeoPandas and generated visualizations using Matplotlib. Certifications

• SQL – C O U R S E R A

• Microsoft Power BI Data Analyst Associate (PL-300) Involvements and Achievements

• Led over 10+ social service campaigns with the LEO Club, mobilizing 200+ volunteers to execute community initiatives.

• Recognized for leadership and team coordination across multiple cross-functional events.

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