Lakshman Kumar Bhukya

About Lakshman Kumar Bhukya

Data Analyst with 5 years of experience designing scalable data analysis workflows using SQL, Python, transforming complex datasets into actionable insights improving reporting accuracy by 25% across business units.Built automated data pipelines using Azure and AWS services to streamline ingestion, transformation and integration processes reducing manual intervention effort by 30% across workflows.Leveraged Power BI and Tableau dashboards to present business KPIs, enabling stakeholders to identify trends and improve decision making efficiency across departments consistently.Implemented advanced data validation frameworks using SQL and Python, ensuring data integrity, consistency and reducing reporting discrepancies across enterprise reporting systems and analytics environments.Applied statistical analysis and exploratory data techniques to uncover hidden patterns in large datasets, enhancing forecasting accuracy and supporting strategic planning initiatives across business functions.Developed reusable data models and semantic layers using SQL, improving data accessibility, reducing query redundancy and enabling efficient enterprise analytics across reporting teams and stakeholders.Utilized AI assisted analytics tools for data profiling, anomaly detection and feature engineering, improving data quality monitoring efficiency across large scale datasets and analytical workflows.Optimized complex SQL queries and indexing strategies, improving data retrieval performance, reducing execution latency and enabling efficient processing across high volume enterprise data environments.Collaborated with cross functional teams to translate business requirements into analytical solutions, improving requirement clarity and enabling efficient delivery timelines across multiple projects.Built predictive analytics models using Python libraries, supporting business forecasting, improving trend identification capabilities and enabling data driven decision making across enterprise teams.Core Technical Skills: SQL | Python | R | Power BI | Tableau | Excel | Azure Data Factory | Azure SQL | AWS Glue | AWS S3 | Pandas | NumPy | PySpark | Data Modeling | Predictive Analytics | Feature Engineering | Data Profiling | Anomaly Detection | ETL/ELT Pipelines | Agile | GitCurrently open to Data Analyst, BI Analyst, and Data Engineering roles — Remote or Hybrid across the USA. Let\'s connect!

Experience

1. Data Analyst

   Elevance Health

   Jul 2025 — Present

   Developed automated data pipelines using Azure Data Factory and SQL to process healthcare datasets, improving data availability by 27% across critical analytics workflows.• Designed interactive Power BI dashboards to visualize patient and operational metrics, enabling stakeholders to improve decision accuracy by 19% in performance reviews.• Implemented SQL based data transformation logic to standardize healthcare data formats, ensuring consistency and accuracy across reporting datasets.• Applied Python based data validation techniques to detect anomalies in incoming data streams, enhancing data quality across analytics pipelines.• Optimized Azure SQL queries and indexing strategies, reducing dashboard refresh times and improving system performance in production environments.• Collaborated with business analysts to define reporting requirements and deliver analytics solutions, ensuring accurate delivery of insights across stakeholders.• Built reusable data models and standardized datasets using SQL and Azure services, improving data accessibility and enabling efficient reporting across enterprise units.• Automated end to end analytics workflows using Azure Data Factory, Python and SQL, improving scalability and supporting continuous data delivery across enterprise healthcare reporting systems.

Education

• Sree Vahini Institute of Science and Technology

  Bachelor of Technology, Mechanical Engineering

• Rivier University

  Master's degree, Computer Science