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

Senior Analytics Associate @ Novartis | Big Data | Content Creator | 41k+ Linkdlen💜 | Go Getter | Brand Collaboration 🤝 | 20 million + Content Impressions 📈| Retail Investors | Ex ZS Associates

Let’s be that senior whom we always wanted in our life. 🚀 

Wanted to elevate your data skills and career then let’s connect🤝 

As a Senior Analytics Associate at Novartis, I use data to drive business decisions and deliver innovative solutions for complex problems. I have a Bachelor of Technology from Harcourt Butler Technical University, where I gained a strong foundation in data analysis, statistics, and machine learning.

In my current role, I collaborate with cross-functional teams to identify opportunities for optimization and guide strategic decision-making based on data-driven insights. I leverage the latest tools and technologies, such as SQL, Python, PySpark and Contour to extract insights from big data sets and support product development, commercial strategy, and clinical research. I am committed to staying ahead of the curve in emerging technologies and best practices in analytics to continuously enhance Novartis' data-driven culture.

I also have experience as a Decision Analytics Associate at ZS, where I worked with client stakeholders across the world, specializing in the Pharma Industry, to understand their needs and translate data into insights that drive business value. I delivered high-quality and impactful analytics solutions through a collaborative approach, focusing on sales force strategy and commercial effectiveness.

Additionally, I am passionate about sharing my knowledge and expertise with the broader data community as a content creator. I create engaging and informative content that simplifies complex concepts and makes them accessible to a wider audience, through tutorials, blog posts, and video content. I strive to inspire curiosity, drive learning, and help people advance their careers in the data field.

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