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

The Catholic University of America

AI Research Assistant - Multimodal AI Lab

 Lab Assistant

Climate Change AI

Climate Change AI Summer School Graduate Fellow

Bidco Africa

✅ Design, implement, and maintain data pipelines that constitute the company data platforms.
✅ Develop and maintain ETL workflows that extract data from various sources, transform it, and load it into our data platform based on business demands.
✅ Mediating and coordinating the resolution of data science project deliverables using agile methodology.
✅ Design, architect, re-architect, and develop BI solutions, and KPIs for different users
✅ Ensure data integrity and accuracy in automated data pipelines.
✅ Engage actively in collaborative meetings with multidisciplinary teams to deliberate on objectives and apply agile methodologies for project implementation.
✅ Ensuring strict compliance with the Data Protection Act when handling customer data.
✅ Conduct data analysis and provide insights to support decision-making processes.
✅ Automate tasks (Business Processes).

Lead Data Scientist

Data Scientist

Serix

Co-Founder

Airflow | Talend| MSSQL| Postgres |Postgis|Remote Sensing|GEE|Linux|SQL|Python|AWS| Spark |Kafka |Scala |RedShift.
✅ Developed Early warning systems using spatial data and business data(modern data analytics stack)
✅ Water monitoring, drought monitoring,Food security.
✅ Create and maintain optimal data pipeline architecture.
✅ Assemble large, complex data sets that meet functional / non-functional business requirements.
✅ Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
✅ Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
✅ Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Data Engineer/Geospatial Data Scientist 

ProjectPro

Creator

StepWise

✓Worked On ComputerVision and Machine Translation Projects.

Omdena

✅ Collaborated with 30 AI Engineers Globally to help PolicyMakers Improve Food Security, and Crop Yield in Malaysia. Crop yield prediction using Ml.
✅ Developed dashboards incorporating crop detection using satellite imagery, Crop yield Prediction, Crop disease, and Climate risk prediction solutions.

Machine Learning Engineer

afringa

Data Science Intern

Forage

✓Acquired more intuition as I walked through the following modules In Sprocket Company limited data implementation:
       ✓.Data Insights
       ✓.Data Insights and Presentation
       ✓.Data Quality Assessment.

KMPG Data Analytics Consulting  Internship

Data Scientist | Data Engineer| Cloud Architect|

As a skilled Data Scientist, and Engineer, I am dedicated to building Data Products that tackle real-world issues in various industries such as Finance, Agriculture, Health, Education, Manufacturing, and Telecommunication. My expertise lies in designing robust data pipeline architectures and automating ETL processes to help organizations make sense of disparate data and resolve complex challenges.

I am proficient in various programming languages and tools such as Python, Apache Airflow, Spark, Kafka, SQL, Java, Excel, ETL (Talend), PowerBI, Tensorflow, Natural Language Processing, Git, and Version Control. Additionally, I have experience working with Flask, Streamlit, Heroku, AWS Beanstalk, EC2, EMR, RDS, Redshift, relational SQL, and NoSQL databases, including PostgreSQL, SQL Server, OLTP, and OLAP data processing systems.

My expertise extends to DevOps using Docker, Kubernetes, and Data Warehousing, enabling me to deliver top-notch solutions that meet organizational objectives.

taplio

The Battle

Deepanshu Kalra

Wanjohi Christopher

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