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Suryakant Kumar

Suryakant Kumar

Data Engineer

Vontive | Bengaluru, Karnataka, India

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Python

My New Track

Python Fundamentals

Curious explorer of data landscapes, seeking hidden treasures.

My Work

Take a look at my latest work.

course

Understanding Data Engineering

course

Introduction to Python

course

Intermediate Python

course

Understanding Data Engineering

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Working with the OpenAI API
Understanding Data Engineering

My Work Experience

Where I've interned and worked during my career.

Vontive | Jul 2025 - Present

Data Engineer

N/A

Flipkart | Oct 2022 - Jul 2025

Data Engineer

As part of Supply Chain Analytics team, I collaborated with multiple Data Engineering & Analytics professionals. This role gave me exposure to various technologies used to process and transform large-scale data within minimal time, and helped me understand the journey of a product. - Developed and Optimised Batch pipelines to generate reports by the end of the day (D-1), significantly reducing the reporting time compared to the previous duration of three days (D-3). - Successfully developed over 60 batch pipelines, Each integrating more than 10 data sources (Snapshots / Journals / Dimension Tables / Fact Tables / Static Files) and processing over 20 terabytes of data, resulting in an average runtime improvement of 3 times, with some pipelines achieving a remarkable 7 times improvement. - Implemented optimizations that reduced computational resource usage by an average of 5 times, with the most significant improvement reaching 40 times. Additionally, significantly reduced memory usage during read operations, contributing to overall system efficiency. - Designed and Developed ETL pipelines to detect functional breaches and overall breaches across the entire supply chain, spanning from the warehouse or fulfillment center (FC) to the delivery hub (DH). - Developed near-real-time data pipelines to efficiently handle the streaming ingestion of raw data associated with both Inbound and Outbound operations of MotherHub and Line Haul / Transport, including transferring data from RDBMS systems to Google BigQuery for seamless and timely analytics.
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Purplle.com | Aug 2020 - Jul 2022

Data Engineer

As part of a Data Science R&D team, I had the privilege of working with a diverse group of professionals, Including Data Engineers, Analysts, Scientists & Subject Matter Experts, all under the guidance of an exceptional Manager. This experience allowed me to gain exposure to various technologies, engage in cross-functional collaboration & contribute to the end-to-end development of multiple products. - Developed ETL Pipeline on Google Search Data and Built a Dashboard for Analysis of User Intent, Historical & Geographical Market Trends and Used it for New product development. - Developed ETL Pipeline on Youtube Data and Built a Dashboard for Influencer Marketing by hacking Growth of Influencers & Analysing Brands / Category wise Contents to identify potential collaborations with relevant influencers. - Developed ETL Pipelines for Cleaning and Analysing Competitor’s products data for Market Research, Gap Analysis & New Product Development. - Built Custom NER (Named Entity Recognition) Model with over 95% accuracy to extract Entities like Brands, Ingredients, Benefits, Product Types, Grammage and many more out of Product Titles and Descriptions, Which enabled our team to Identify Gaps at the Category / Ingredient / Benefit / Concern level, leading to more effective Product Development strategies. - Developed a tool for Price Tracking across multiple Competitors that enabled Business Analysts to Analyse Competition and Increase Sales by effective pricing & promotional strategies. - Developed Automated tools for Scraping data from Competitor's E- Commerce platforms for Market Research, Social media platform like Instagram / Reddit & Streaming platform like YouTube for Influencer marketing.

MountBlue Technologies | Feb 2020 - Jul 2020

Software Development Engineer

As part of a skilled team of Full-Stack Python Developers, I got the opportunity to learn and work with a range of cutting-edge technologies. This collaborative experience enabled me to confidently design and develop web applications that are scalable, user-friendly, and capable of handling high traffic. Furthermore, I honed my ability to quickly adapt to new technologies, which allowed me to continuously enhance my professional capabilities. - Ingested IPL data from Kaggle into PostgreSQL, processed and cleaned it using Python, Pandas, and SQL, then created visualizations with Matplotlib to deliver actionable insights on player and team performance. - Developed a Web application using Python and Django that allows Authenticated members to partake in a range of Quizzes, as well as Create their own Custom Quizzes. Here Users can easily navigate through the various Quiz Categories. One of the key features of the application is the Immediate Feedback that Users receive upon completing a Quiz. Participants can view their Correct and Incorrect Answers per Question, with their Final score being added to the Leaderboard. - Built a fully Functional clone of YouTube, a popular Streaming platform using Python and Flask. It allows members to view a vast array of Content Uploaded by other Members while also providing them with the opportunity to Create their own Content. Additionally, I implemented a secure Login system that enables members to interact with the content Uploaded by other users by Liking, Disliking, and Commenting on it. - Deployed to it’s client Purplle.

My Education

Take a look at my formal education

Bachelor of Technology - BTech in Computer Science & EngineeringPunjab Technical University | 2019

About Me

Suryakant Kumar

Analytically minded, Self-starter with over 5 years of experience working in India’s leading E-commerce industry, collaborating with cross-functional teams and delivering valuable insights and growth to the organisation while building data products.

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