Aakash Sharma

About Aakash Sharma

A multi-faceted & dynamic technocrat, Data Engineer & Azure Data Architect offering nearly 10 years of unmatched track-record in driving Dev Teams, Developing And Migrating BI, Analytics, Data Warehouse and AI along with third party system integration and data migration on Microsoft Azure Data Stack (Azure, Azure Fabric, Azure Data Factory (ADF), Azure Databricks (ADB), Power BI, Azure synapse, Azure Data Lake, Kusto Query Language (KQL), Prompt Engineering, LLMs).• Proficient in Agile Program management, translating user stories for sprints into techno-functional deliverables, technical and functional specifications and project delivery• Expertise in Azure, ADF, ADB, ADL, Open AI, Azure Batch, Azure Functions, SQL Server, Azure SQL, Logic Apps, T-SQL, Azure Open AI and Power BI. • Proven success in creating data pipelines in ADF v2, Azure Data Lake (ADL) and Apache Spark on Azure Databricks (PySpark); worked on scripting jobs in python and PowerShell and good exposure to object-oriented programming.• Simulated, designed, developed & deployed computationally complex and practical data; built and delivered comprehensive data strategy roadmap; ensured final deliverables were of the highest quality. • Deep understanding of cloud technology, business and operations with the ability to draw from personal experience to make recommendations.• A Visionary leader with specialization in Legacy Migration & Modernization Strategy, Digital Cloud Transformation Roadmaps, Big Data Analytics to gain insights and capitalize, Cloud Native Architectures, experience and insight to elevate any application, computing platform infrastructure to Cloud.• Recognized for building cloud-optimized architecture, developing business strategies and influencing product roadmap by working closely with Cloud Engineering Teams.• Supported business & technology vision and direction by influencing strategies and monitoring execution of major technology initiatives.• Conferred with Spot award in 2024 and Ace Star Performer of The Year Award, Power Player Award in 2019

Experience

1. Senior Data Engineer

   Microsoft

   Jan 2023 — Present · Bengaluru, IN

   Enterprise Data Modeling & Architecture [Capacity Data Model]: Led the design and implementation of a scalable capacity data model, enabling executive-level reporting and efficient resource forecasting. Modeled core data assets with a focus on reusability, performance, and alignment with business KPIs. ETL Frameworks & Automation [Trap Recertification]: Architected and deployed multiple automated pipelines to process cybersecurity trap data, recertify low-performing detections, and enrich signals across petabyte-scale datasets — significantly improving detection accuracy and system responsiveness. Big Data Processing & Optimization: Managed and analyzed petabyte-scale datasets using Kusto Query Language (KQL) and Azure Data Lake, implementing performance-optimized queries to extract high-impact insights and support mission-critical decisions. Lakehouse Integration & Data Productization: Used Azure Databricks and Delta Lake to build curated, quarriable datasets for threat intelligence and trap analytics, accelerating data accessibility for business and technical teams. KQL Query Parser/Converter: Designed and implemented a KQL Query Parser, automating the conversion of various trap queries for execution on different platforms, increasing efficiency and flexibility with the help of Gen AI integration. AI-Powered Automation [Trap Detection Authoring]: Built LLM-integrated tools (via Azure Open AI using Gen AI) to auto-generate detection logic, convert queries across formats, and identify high-confidence trap hits using vector embeddings and decision tree models — reducing operational effort by 90%.

Education

• APJ Abdul Kalam Technological University

  Bachelor of Technology (B.Tech.), Computer Scienc

  2011 — 2015

• Nirmala Convent School, Bulandshahr

  High School

  1999 — 2009

• Delhi public School,Bulandshahr

  12th, PCM

  2009 — 2011