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

Capgemini

Consultant

As a data engineer, I work on data related issues and pick up MSBI development tasks in order to address DQ issues at it's root, also extend my efforts on modification of ETL's as per the requirement to maintain the data quality accross the application workflow.

Technologies working on  :

SQL Server
SSIS (SQL Server Integration Service)
MDS (Master Data Services Tool)
ADF Pipeline

Associate Consultant

Senior Software Engineer

Hewlett Packard Enterprise

Learnt various concepts about web designing which includes HTML,CSS, JavaScript, JQuery, Bootstrap and PHP and AJAX for dynamic creation.

Web Development Training

Learnt various concepts related to database connectivity, applets, classes & objects etc and designed a java based software using these concepts.

Core Java Training

Graduated from National Institute of Technology, Jalandhar in Electronics and Communication branch and started my professional career with Capgemini and got 3 months training on Data Science technologies.

Post completion of training, I have been working as Data Engineer from support aspect and handled complex data related issues along with the development work in ETL's. My aim is to ensure the data quality across the application workflow.

I have worked on below set of technologies/tools :

1. SSIS (SQL Server Integration Services)
2. SQL Server 
3. MDS (Master Data Services)
4. ADF Pipeline (Azure Data Factory)
5. ES (Enterprise Scheduler)

My work has been recognised and appreciated by the client also have received the Star Award for the same. I am working on a few automations for daily activities. 

This is how my journey has been and I am learning the most trending Big Data technologies alongside my official work.

taplio

The Battle

Deepanshu Kalra

Rajan Verma

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