Aakash Sharma — Software Engineer

• 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

Stackforce AI infers this person is a Cyber Security Data Engineer with extensive experience in cloud architecture and data analytics.

Location: Bengaluru, Karnataka, India

Experience: 10 yrs 9 mos

Skills

Data Engineering
Cloud Architecture
Artificial Intelligence
Business Intelligence

Career Highlights

Nearly 10 years of experience in data engineering.
Expert in Azure Data Stack and cloud architecture.
Recognized for excellence with multiple awards.

Work Experience

Microsoft

Senior Data Engineer (3 yrs 5 mos)

Data Engineer (2 yrs)

Swiss Re

Assistant Vice President (3 yrs 5 mos)

DELL

Senior Program Developer (1 yr 11 mos)

Education

Bachelor of Technology (B.Tech.) at APJ Abdul Kalam Technological University

12th at Delhi public School,Bulandshahr

High School at Nirmala Convent School, Bulandshahr

Aakash Sharma

Software Engineer

Bengaluru, Karnataka, India10 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Nearly 10 years of experience in data engineering.
Expert in Azure Data Stack and cloud architecture.
Recognized for excellence with multiple awards.

Stackforce AI infers this person is a Cyber Security Data Engineer with extensive experience in cloud architecture and data analytics.

Contact

Skills

Core Skills

Data EngineeringCloud ArchitectureArtificial IntelligenceBusiness Intelligence

Other Skills

Azure DatabricksAzure FunctionsKusto Query Language (KQL)Azure Data LakeData ModelingGen AIAzure Open AIVector EmbeddingsAzureAzure Data FactoryAzure BatchPower BIAzure SQLPySparkPowerShell Scripting

About

Experience

10 yrs 9 mos

Total Experience

2 yrs 8 mos

Average Tenure

3 yrs 5 mos

Current Experience

Microsoft

2 roles

Senior Data Engineer

Promoted

Jan 2023 – Present · 3 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

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%.

Azure DatabricksAzure FunctionsKusto Query Language (KQL)Azure Data LakeData ModelingData Engineering+1

Data Engineer

Jul 2017 – Jul 2019 · 2 yrs · Bengaluru Area, India

Worked on various on-prem to Azure migration projects for MS customers involving extensive work on Azure Data Stack.
Expert in developing reports using Power BI and have extensive experience in Power BI Embedded (UOD and AOD).
Worked on data offerings from Azure like Azure SQL, Data Lake and building ETL pipelines in Azure Data Factory (ADF v2).
Offered advice and expertise to MS Customers to improve their business performance by solving their complex issues.
Hands-on development, interviewing and mentoring of other team members.
Tools/Software – SQL Server 2016, 2017, Azure SQL and Azure Data Lake, ADF V2, C#. NET, Azure Databricks (pyspark).

Power BIAzure SQLAzure Data LakeAzure Data FactoryC#.NETAzure Databricks+2

Swiss re

Assistant Vice President

Jul 2019 – Dec 2022 · 3 yrs 5 mos · Bengaluru, Karnataka, India

Leading the Financial Risk Management Platform Data Engineering and Analytics team.
Extensively worked on project migration from on-prem to Azure Cloud.
Advising and engaging with multiple CxO level stakeholders, providing strategic direction in Azure implementation with a focus on Azure data platform.
Development of cloud architecture diagrams and building proofs of concepts on proposed architecture.
Created plans and communicated deadlines to complete projects on time.
Hands-on development, interviewing and mentoring of other team members.
Completed the set-up of Data Pipelines (end-to-end), Data Models, reporting and done the daily batch monitoring.
Incremental Ingestion pipeline – Financial Exposure Data
Tools/software/Tech Stack – Azure, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Batch, Azure functions, Logic Apps, Power BI, Azure SQL, PySpark, PowerShell Scripting.

AzureAzure Data FactoryAzure Data LakeAzure DatabricksAzure BatchAzure Functions+6

Dell

Senior Program Developer

Aug 2015 – Jul 2017 · 1 yr 11 mos · Bengaluru Area, India

Highly accomplished and experienced Professional in the areas of Data Warehousing, Data Analytics and Business Intelligence.
Expert in developing web applications, WCF and windows services in Microsoft Visual Studio .Net
IDE using C#.Net, ADO.NET and SQL Server.
Extensive experience with SQL Server, T-SQL, SSIS, Excel 2010/2013.
Experience in working on Hadoop Ecosystem with Big-data Analysis tools like HIVE, PIG-LATIN,
APACHE-SPARK, MAP-REDUCE (JAVA), etc.
Experience in churning enormous data on Cloud Platforms like CloudxLab and Microsoft Azure.
Experience in running complex and high volume ETL processes.
Worked on Data Warehouse and Enterprise Data Warehouse.
Having sound understanding of Data Structures and Collections in C#.
Good exposure to object oriented programming.
Exceptional understanding of Design Patterns with C#.Net.
Sound understanding of relational, object and dimensional databases.
Solid team player with Communication, Presentation and interpersonal skills.