Vijay Bharath

I am a Data Engineer fueled by an insatiable curiosity and a determined ambition to achieve mastery in my field. My approach blends creative problem-solving with pragmatic execution, always striving to build robust systems and deliver impactful solutions through thoughtful analysis and continuous learning.

Experience

Data Engineer - Alexa

Amazon · Aug 2024 – Nov 2025

Not yet confirmed

• Migrated data pipelines across 15+ locales by building and maintaining AWS Glue ETL pipelines integrated with data lake and data warehouse systems, improving data availability and achieving 98% data visibility.
• Built & streamlined ETL pipelines end-to-end on AWS cloud with Glue, Athena, Quick sight & Redshift reduced processing time from 14 hrs to 3 hrs for downstream analytics.
• Integrated AI assisted query GPT for Adhoc analysis in ETL escalation workflows, automated root-cause analysis and issue triaging, reducing false positives and lowering recurring job failures escalation by 90%.
• Developed an LLM evaluation framework for Alexa+ using LangChain, Amazon Bedrock, and ETL pipelines to automate across workflows, streamline data processing, and improve the alexa capabilities.

Data Analytics Engineer

Razorpay · Dec 2023 – Jul 2024

Not yet confirmed

• Developed the credit risk models for BNPL business to analyze customer behavior, repayments, delinquency patterns, and conversion funnels by data-driven underwriting resulted in improving data visibilty by 35%.
• Created an end-to-end dashboards for BNPL on Looker to track Revenues, Conversions,GMV,Performance across sales team integrating multiple databases using Data Bricks, Querybook on Looker.
• Migrated analytical workloads from Databricks to BigQuery (GCP), optimizing queries using partitioning, materialized views reduced infrastructure costs by 30% and improved query performance by 25%.
• Supported marketing, remarketing campaigns and using unsupervised ML techniques with segmentation models to optimize spend and improve performance metrics.
• Conducted A/B experiments resulting in decreased churn rates.

M

Data Engineer

Medibuddy · Mar 2022 – Feb 2023

Not yet confirmed

• Improved fulfillment rate from 47% to 75% by identifying cancellation causes and streamlining processes there by reducing (TAT) from 24Hrs to 6Hrs, enhancing operational efficiency.
• Solved the data visibility issue by providing visual insights to stakeholders in dashboards for OTC Brands with Revenues, Highest Selling SKU's,Brand wise margins,refill/reorder items with GMV,AOV,ARPU.
• Developed Python scriptsto perform data transformations and created pipelines to automate the execution of Extract, Transform, Load (ETL) tasks for business and operations teams for daily tasks.
• Developed and implemented a new Fraud Analysis model, effectively controlling revenue leakage of 3.3MnRs from coupon codes/discounts analysis.

D

Analyst - Intern

Dolat Capital · Jul 2021 – Dec 2021

Not yet confirmed

• Worked with Investment Banking team and helped in Research and Analysis to acquire D2C Brands and fundraising activities.
• Created Investment Pitch Deck, Teaser's, IM's on Industry Study,M&A & presented to the investors.
• Developed a tool in Python for Data scrapping using python libraries which reduced 30Hr/Week time in shortlisting the brands for acquisition and lead generation.
• Conducted market research&made analysis for Investors in closing the investment by Upscalio in Autofurnish Pvt Ltd.