Google

- Working in the Google Devices and Services group as a Data Engineer
- Develop high quality modern pipelining, warehousing, and reporting solutions and deliver it to customers across teams, making data more useful to the enterprise
- Designing data solutions to help customers, and so the organization, grow fast

Data Engineer

Microsoft

- Core Data Engineering team of Microsoft Edge
- Responsible for Browser's success and health, by advanced telemetry & customer analytics
- Designed data frameworks on top of Google Chromium's open-source engine and telematics design
- Developed the data framework (Pipelines, Data Lakes) using Azure and open-source tools 
- Owned self serve dashboarding system, which enabled analysis for 50+ features 
- Directly worked with Feature PMs, Senior Leadership, and several other stakeholders
- This contributed directly in making Microsoft Edge a world class browser

TiVo

- Analyzed viewership of programs and channels across US with raw Television/ STB data
- Rated all TV Programs and Channels, using complex time-zone normalization and other proprietary algorithms
- Sold the data directly to third parties
- Used internally to optimize the bundling of the channels across TiVo Operators
- Helped make TiVo TV Guide more powerful

Thorogood Associates

- Worked directly with customers from Unilever (UK), and Novartis (Germany)
- Gained experience across many functional areas like BFSI, HR, and HealthCare
- Trained new hires multiple times during his span at Thorogood, for SQL and other Data technologies

Business Intelligence Consultant

MAQ Software

- Developed and designed a Data Mart, ETL, Multidimensional solution for an internal site of Microsoft

Business Intelligence Engineer

A creative thinker, a continuous learner, a technologist. Deepanshu is a data engineer with great technical skills and a passion for resolving complex problems at ease. 
Adept at maintaining focus on achieving the right end results while formulating and implementing advanced technology and business solutions, especially in customer analytics and growth analytics areas. Deepanshu's skills include SQL, Data Engineering, Apache Spark, Extract, Transform, Load (ETL), Pipelining, Python, NoSQL and he has worked on all three major cloud platforms GCP, Azure, and AWS.

Apart from these Deepanshu focuses on collaboration and communication skills, together with a demonstrable desire to learn more thanks to the exceptionally amazing peers he has worked with. This helps him secure competitive advantage when comes to good quality work and team building.

He is currently delivering value to customers as a Data Engineer at Google with his Data strategy, vision, and technical implementation. In the past, he worked with Microsoft and touched billion+ of users with his data solutions. Deepanshu is aspiring and interested to get into or promote into a role where he can clearly demonstrate his leadership and product management qualities.

You can connect with Deepanshu on Instagram as well at instagram.com/dkalra_/

Thank you for reading.
Keep hustling! Keep growing!

Deepanshu Kalra

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%.

Senior Data Engineer

Swiss Re

• 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.

Assistant Vice President

• 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).

DELL

•	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.

Senior Program Developer

• 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

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