Sri Budhadev Pal

Versatile and Results-Driven Data Engineering Professional with expertise in Microsoft Fabric and Azure technologies, delivering innovative data solutions and advanced analytics. Accomplished-driven Data Engineering Professional with nearly 10 years of experience designing and delivering enterprise-scale data platforms, business intelligence solutions, and advanced analytics ecosystems using Microsoft Fabric, Azure cloud services, and the MSBI stack.

Microsoft

Fabric & Lakehouse Architecture Specialist with strong expertise in building scalable Lakehouse and Data Warehouse platforms using the Medallion Architecture (Bronze–Silver–Gold) model to process and manage large-scale enterprise data workloads. End-to-End Data Pipeline Architect experienced in designing and orchestrating high-performance ETL/ELT pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Azure Databricks, and PySpark to support batch, near real-time, and streaming analytics workloads.

Advanced Data

Modelling & Analytics Expert with strong proficiency in Power BI, DAX, SSAS, and semantic data modelling, enabling scalable self-service analytics and interactive dashboards for business stakeholders and enterprise users.

Cloud Data Platform

Engineer with hands-on experience across Azure Data Services including Azure Databricks, Azure SQL Database, ADLS Gen2, and Fabric OneLake, enabling secure, high-performance, and cost-optimized cloud data environments.

Performance

Optimization & Data Governance Practitioner, implementing query tuning, indexing, partitioning, data lineage tracking, and governance frameworks to ensure data accuracy, scalability, and compliance across enterprise data ecosystems. AI-Enabled Analytics & Data Science Collaboration experience, supporting machine learning pipelines and leveraging Microsoft Fabric Copilot, Data Agents, and Azure-based ML workflows to accelerate insight generation and advanced analytics adoption. Cross-Functional Data Delivery Leader known for collaborating closely with business stakeholders, analytics teams, and data scientists to translate complex business requirements into scalable data architectures, automated workflows, and high-impact BI solutions.

Recognized for consistent high performance and delivery excellence, earning multiple organizational accolades including Outstanding Performer of the Quarter, Star of the Month, Pat on the Back, and the Spot On – Accountability Badge for driving impactful data solutions and exceeding project expectations. Committed to leveraging strong engineering capabilities and industry experience to drive data-driven decision-making in leading product-based and service-oriented organizations within the information technology sector.

Lead Solutions Engineer – Azure, Microsoft Fabric & Power BI at Data Semantics (2023-09 – 2025-11)

Spearheaded the design and implementation of scalable Microsoft Fabric and Azure-based data platforms, integrating Lakehouse & Data Warehouse ecosystems using the Medallion (Bronze–Silver–Gold) architecture to process multi-terabyte enterprise datasets.

• Data Platform Architecture: Spearheaded the design and implementation of scalable Microsoft Fabric and Azure-based data platforms, integrating Lakehouse & Data Warehouse ecosystems using the Medallion (Bronze–Silver–Gold) architecture to process multi-terabyte enterprise datasets.
• Data Pipeline Engineering & Orchestration: Designed and orchestrated robust ETL/ELT pipelines using Fabric Data Factory and Azure Data Factory, leveraging PySpark, Spark SQL, and Azure Databricks to support high-volume batch and real-time data processing.
• Distributed Data Processing Frameworks: Established scalable distributed data transformation frameworks across Azure Databricks and Fabric Notebooks, improving data processing efficiency, performance, and code reusability.
• Data Warehouse Performance Optimization: Optimized Fabric and Azure data warehouse environments through advanced partitioning, indexing strategies, and query tuning to enhance query performance and analytics delivery.
• Data Governance & Security Implementation: Implemented enterprise-grade data governance frameworks including data lineage, access controls, and quality management mechanisms to ensure data integrity, traceability, and compliance.
• Self-Service Analytics Enablement: Enabled enterprise-wide self-service analytics by integrating Power BI semantic models with Fabric and Azure data platforms, empowering 250+ business users with scalable and reliable analytics capabilities.
• AI-Driven Data Innovation & ML Operations: Collaborated with data science teams to operationalize machine learning pipelines using Azure Databricks with automated retraining, while leveraging Microsoft Fabric Data Agent and Copilot to accelerate data discovery and AI-assisted analytics.

Specialist – Data Engineering – Power BI & Oracle at LTIMindtree (2020-07 – 2023-08)

Directed Power BI solution deployments for global clients, building scalable data models and optimizing complex SQL queries to support business-critical KPIs and interactive analytics dashboards.

• Power BI Solution Delivery: Directed Power BI solution deployments for global client SCANIA, Reducing report turnaround time by 50% through process streamlining and reporting workflow from Oracle Database.
• Analytical Modelling & KPI Reporting: Built scalable data models, created advanced DAX calculations, and role-based security configurations to support business-critical KPIs and interactive analytics dashboards.
• SQL Optimization(Oracle): Optimized complex SQL queries in Oracle Database using indexing, partitioning, and efficient joins (INNER/LEFT), reducing data retrieval time and improving query performance.
• Automation & Platform Governance: Established automated refresh mechanisms and governance standards within Power BI Service to maintain data reliability, consistency, and controlled user access across reports.

Senior Software Engineer – Power BI & SQL at EY (2019-11 – 2021-07)

Developed interactive dashboards using Microsoft Power BI with DirectQuery mode for real-time data access for Regulatory Reporting, reducing report navigation time through improved design.

• Core Experience: Developed interactive dashboards using Microsoft Power BI with DirectQuery mode for real-time data access for Regulatory Reporting. Reduced report navigation time by 30% through improved layout and user-friendly design.
• Data Modelling & DAX: Built efficient data models in DirectQuery with star schema design to enhance query performance. Developed optimized DAX measures considering DirectQuery limitations (avoiding complex row-level calculations).
• Performance Optimization: Optimized DirectQuery report performance by reducing query load using aggregations, query folding, and efficient DAX design. Tuned backend queries and indexing strategies in SQL Server to improve report responsiveness.
• Governance & Security: Implemented Row-Level Security (RLS) in DirectQuery models to enforce dynamic data access control.

Software Engineer - SSRS & Reporting at CGI Inc. (2016-03 – 2019-11)

Designed and implemented SSRS reports and transitioned legacy dashboards to Power BI, significantly enhancing interactivity, usability, and visualization capabilities.

• Reporting Modernization & Visualization: Designed and implemented SSRS reports and transitioned legacy dashboards to Power BI, significantly enhancing interactivity, usability, and visualization capabilities.
• ETL Development & Data Integration: Developed and managed SSIS-driven ETL workflows to consolidate data from multiple sources into the enterprise Data Warehouse, ensuring reliable and structured data availability.
• Analytical Data Modelling: Built and optimized SSAS cubes and multidimensional data models to enable efficient financial and operational analytics across the organization.

Bachelor of Engineering in Computer Science and Engineering – S.R.K.R Engineering College (2012 – 2015)

Diploma in Computer Science Engineering – Andhra Polytechnic (2008 – 2011)