Data Engineer Power Bi

LEELA KRISHNA PRASAD

BOSTON, MA linkedin.com/in/leela-krishna-prasad ******************@*****.*** +1-518-***-**** SUMMARY:

Result driven Data Engineer with over 3 years of experience in Python, SQL, and cloud platforms (AWS, Azure, GCP). Skilled in predictive analytics, data modeling, and creating dashboards using Tableau and Power BI. Proven success in optimizing workflows and delivering insights in healthcare and insurance industries. Experienced in regulatory compliance reporting and advanced data visualization. Open to relocation within USA. CERTIFICATIONS:

Google Professional Data Engineer

AWS Developer Associate

Google Cloud Associate Cloud Engineer

Microsoft Azure Fundamentals (Az-900)

SKILLS:

Programming Language: Python, R, SAS, MATLAB, JavaScript.

Data Analysis Tools: NumPy, Pandas, Matplotlib, SciPy, OpenCV, scikit-learn, TensorFlow, XGBoost.

Database Management: SQL (MySQL, PostgreSQL), NoSQL (MongoDB), Hadoop, Spark, Oracle.

Visualization Software: Tableau, Power BI, Microsoft Excel, Looker.

Data science & Analytics: Data Analytics, Data Visualization, Data Mining, Data Modeling, Ad Hoc Analysis, Predictive Analytics.

Project Management: Jira, Agile Methodologies, Stakeholder Collaboration EXPERIENCE:

Data Engineer – Elevance Health Inc., New York May 2023 - Current

• Developed and deployed data-driven solutions for predictive modeling and prescriptive analytics, optimizing healthcare service offerings and reducing claim processing times by 17%, leveraging SQL and Python.

• Designed interactive dashboards using Power BI to track patient outcomes, improving decision-making and increasing operational efficiency by 15%.

• Improved query performance by 60% through query optimization, materialized views, and indexing strategies in SQL and Snowflake.

• Configured Airflow DAG monitoring to track job success rates, retries, and SLA breaches, improving pipeline reliability by 98%.

• Automated data collection and data cleaning processes for healthcare claims data, enhancing data accuracy and reducing retrieval time by 20% through cloud-based platforms like AWS and Snowflake.

• Led a data modeling initiative for patient readmission predictions, decreasing hospital readmissions by 7% with diagnostic analytics and machine learning.

• Developed healthcare compliance reports for regulatory bodies, ensuring data integrity and meeting HIPAA standards with 100% accuracy using SQL and data visualization.

Data Analyst – ICICI Lombard Insurance Ltd., India Jan 2022 - Jun 2022

• Engaged with internal stakeholders to gather data requirements for patient demographics and claim analysis, ensuring alignment across departments and improving data quality by 10% through Salesforce CRM and ETL tools.

• Analyzed and cleaned large datasets related to patient demographics, improving data quality and accuracy by 12% using Python and R for statistical analysis.

• Created custom reports using Excel and Power BI to track operational metrics, reducing reporting time by 15% and increasing visibility into healthcare service performance.

• Managed data synchronization across Oracle NetSuite and cloud platforms, implementing ETL pipelines, real-time integration, and archival solutions for legacy data storage. Junior Data Analyst – ICICI Lombard Insurance Ltd., India Jun 2021 - Dec 2021

• Assisted in designing business intelligence dashboards in Power BI to track customer segmentation and insurance policy performance, leading to a 12% increase in cross-selling opportunities.

• Automated data workflows to streamline policy renewal processes, cutting renewal cycle time by 20% using Python and ETL frameworks for data integration.

• Designed and implemented basic automated workflows using PowerApps, SharePoint and Power Automate reducing manual processes and enhancing business workflow efficiency. EDUCATION:

New England College, NH Aug 2022 - May 2024

Master of Science, Computer Science CGPA – 4.00

Vellore Institute of Technology, India Aug 2018 – Jul 2022 Bachelor of Technology, Computer Science CGPA - 3.80 PROJECT:

ChemScan: Your Guide to Chemical-Free Living

• Developed application leveraging GCP for real-time data processing, storage, and analytics. Built data pipelines for ingredient scanning and nutritional analysis using Python and GCP services like BigQuery and Cloud Functions. Designed visualizations (graphs, nutrition scores) with data analysis libraries. Implemented location-based notifications and device interoperability for seamless experience. Integrated APIs for social media sharing and ensured scalable performance with GCP infrastructure.

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