Data Engineer

Job Requirements

.Professional Summary Microsoft certified Data Engineer with 8+ years of experience delivering enterprise?scale data engineering, semantic modeling, AI?ready datasets, and cloud analytics solutions. Expertise in technologies such as Microsoft Fabric (Fabric IQ, OneLake and Fabric workloads), Azure Databricks, Synapse, Azure Data Factory, ADLS, Microsoft Purview, MS Foundry, SQL, and MSBI stack. I am proficient in Pyspark programming, DAX and T-SQL scripting. Proven track record in leading the development of enterprise-grade Power BI/Fabric semantic models, translating business requirements into technical solutions, and ensuring the performance and reliability of production assets. Good Understanding and knowledge on CI/CD process in ADO. Good knowledge of Agile/SCRUM Methodology. Achievements Played a key role during MCAPS Start FY26, contributing to backend development of Azure Hero Demos. Designed end?to?end architecture for the Unify Data ? Unify Intelligence solution using Microsoft Fabric and MS Foundry, enabling unified data platforms and modernized app experiences with agentic workflows. Designed and delivered a cross?domain Telco solution using Fabric IQ, Real?Time Intelligence (RTI), and Generative AI to unify telecom datasets across network, customer, operations, and billing. Built a unified Telco ontology in Fabric IQ and enabled cross?domain analytics using graph?based semantic queries. Developed a Fabric Data Agent powered by the ontology to perform deep network diagnostics (e.g., node failures, congestion, base?station outages), provide recommendations, and support conversational troubleshooting via Generative AI - creating an intelligent, automated Telco decision?support platform. Contributed to internal Fabric migration efforts, supporting modernization of analytics workloads and platform adoption. Represented Microsoft at major events, showcasing Microsoft Fabric to customers and partners: o Microsoft Build 2025, Seattle o Data & AI Conference 2025, San Francisco o Microsoft Ignite 2025 - Delivered Fabric, Azure Databricks and Microsoft Foundry Lab o Microsoft Fabric Conference 2025, Las Vegas - Led Build AI?Ready Applications with SQL Database in Microsoft Fabric workshop Professional Experience Technology Lead at Infosys, Microsoft (Client) | March 2023 - Present Led the architecture, development, and delivery of Microsoft Fabric, Azure analytics, and AI?enabled data engineering solutions supporting Azure Data's global operations and Microsoft field. Enterprise Data Engineering & Semantic Modeling o Designed and delivered a next?generation Fabric semantic model supporting unified Azure Data reporting, KPI management, and enterprise analytics consumption. o Built scalable Lakehouse/Warehouse layers, Dataflows Gen2 ingestion pipelines, and centralized configuration using Fabric Variable Library for CI/CD?ready deployment and OneLake Security. Fabric Modernization & Migration Leadership o Led the full migration from Power BI ? Microsoft Fabric, enabling Dataflow Gen2, Lakehouse?based transformations, and Fabric?native semantic modeling. o Designed and delivered a cross?domain Telco solution built on Fabric IQ, Real?Time Intelligence (RTI), and Generative AI to unify complex telecom datasets. o Established a unified Telco ontology in Fabric IQ that semantically connects network, customer, operations, and billing domain models within OneLake, enabling true cross?domain analytics. AI, Agentic Workflows & Advanced Reasoning o Explored and implemented Fabric Data Agents, semantic query acceleration, and Copilot extensibility to build AI?ready data products. o Designed multi?agent orchestration patterns for KPI monitoring, data quality assessment, and domain?specific reasoning workloads aligned with Microsoft Foundry vision. o Integrated Microsoft Foundry, Databricks Genie, and Fabric into end?to?end intelligent analytics demos for enterprise customers and partners. Technology Analyst at Infosys Jan 2021 - May 2023 Developed Industry based demo (Retail, FSI, Healthcare, Sustainability, MGDC etc.) and products based demo which include Azure Cloud, SQL, Microsoft Fabric, Azure Data Explorer, Azure Purview. Microsoft Azure Data Factory, Azure Data Lake, Azure Databricks, Power B', Azure Log Analytics, Microsoft Sustainability Manager & Microsoft cloud for Sustainability etc... As part of the move-to-modem initiative, led the migration from Azure SQL managed instance to Azure Synapse and documented the demo for sellers. Identified and applied techniques to optimize Synapse jobs to bring down Azure $$ cost. Documented the techniques so that it helps other teams bring down their Azure cost too. Senior System Engineer at Infosys Jan 2018 - Dec 2020 Developed pipeline for Unified Hub API, pull the data from API to the SQL database Onboarded the Sales & Marketing related data, transformed and loaded that into DW. Experience in the development of extracting, transforming, and loading (ETL), maintain and support the enterprise data warehouse system and corresponding marts. Education National Institute of Technology Raipur, India (B-Tech, Electronics and Telecommunication Engineering (2013 - 2017)) Licenses & Certifications Microsoft Certified: Fabric Data Engineer Associate (DP?700) Microsoft Certified: Azure Data Engineer Associate (DP?203) Microsoft Certified: Fabric Analytics Engineer Associate (DP?600) Microsoft Certified: Azure Data Fundamentals (DP?900) Skills Programming Languages: SQL, Pyspark, Python Frameworks, Tools, and Concepts: Azure, Fabric, Power BI, Spark, ETL, ADB, Purview, Data Wrangling, M365