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

Confluent

Solutions Engineer

SingleStore

Vishwajeet is a solutions-oriented Enterprise Solutions Engineer at SingleStore, leveraging his strong background in data engineering and cloud technologies. 

He collaborates closely with customers to understand their unique requirements and business objectives, designing scalable solutions that harness SingleStore's database platform to address specific challenges and drive value. 

Continuously expanding his knowledge of SingleStore's technology stack, Vishwajeet provides guidance on best practices, architectural design, and real-time analytics, particularly in areas like vector capabilities and GenerativeAI applications. 

He actively engages in the pre-sales process, partnering with the sales team to conduct customer meetings and technical demonstrations, excelling at implementing proof-of-concepts across various industries. 

Vishwajeet leads or assists the implementation of SingleStore's data platform in customer environments and on managed services, ensuring successful integration and end-to-end connectivity. 

He acts as a customer advocate and prioritizes success by deeply understanding use cases, optimizing system performance, and providing ongoing support, drawing from his experience in handling high-scale data projects. 

Vishwajeet also conducts training sessions and workshops for customers, partners, and internal teams, and serves as a technical evangelist by contributing to blogs and public presentations, sharing insights on advanced database functionalities and real-time analytics solutions.

Enterprise Solutions Engineer

Fresh Gravity

Working as a data engineer to build an ingestion platform for a product.
Working with Databricks and PySpark to extract and load data from multiple sources into the system for data profiling and quality check. 
Worked on ingesting data from sources like S3, Azure Blob, GCS, Redshift, BigQuery, Snowflake.
data quality check and filtering using pyspark.
deploying singlestoreDB on docker in a Azure VM.
PoC on airbyte ELT tool.

Analyst

worked as a freelance data engineer to design and develop spark jobs for a fintech org. worked with pyspark, sql, aws ec2, python, big query and other big data tech stack

Lumiq

I worked as a Big data engineer to build a data lake from scratch for an insurance company with a highly skilled team of data engineers. We used the AWS cloud platform. We used python, PySPARK, SQL, SparkSQL for ETL process. We used AWS glue for our ingestion and transformation jobs. we also used API ingestion using python, AWS Lambda, AWS API Gateway.

Big Data Engineer

Tata Consultancy Services

Worked as a Data engineer building optimized ETL pipelines for fluent data migration. 
Building migration pipelines using PySpark and AWS services.
Flowing data from source layer to Distribution layer of a data lake for analysis.
Continuous Analysis for automation and optimization of current processes.

D. Y. Patil College of Engineering & Technology, KASABA BAWADA

Coordinator in the Placement Committee of the institution.

Placement Coordinator

Company NameExpertsHub Industrial Skill Development Center Internship

Trained and worked on Machine Learning Project in Internship Program conducted by Expertshub

Internship | Machine Learning

Big Data Engineer
Python, PySpark, SQL Developer
Capgemini Tech challenge 2020 PySpark runner up.
AWS, Azure Cloud data engineer
worked on Databricks to create ETL/ELT jobs for multiple sources.
API ingestion and API development on AWS cloud .
built Data ingestion platform using Azure Data Factory. 
Data profiling using Databricks and PySpark.
Worked with MemSQL/singlestoreDB.
One of the first ambassadors of SingleStoreDB

taplio

The Battle

Deepanshu Kalra

Vishwajeet Dabholkar

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?