VB

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.

Contact details — on requestProof of Work — on request

Experience

Amazon

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.
Razorpay

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.

Skills 0 proven through work

Also works with

Debezium UsageBinlog UsageStow Fridge UsageKettle Pentaho UsageKnowledge EngineeringProfessional Skill DevelopmentMentoring and Peer CoachingSubject Matter ExpertiseMicrosoft ExcelQuery WritingLegacy System MigrationGenerative AI ApplicationCustomer Behavior AnalysisScalable System DesignMachine Learning ApplicationProject ExecutionHypothesis-Driven ExperimentationAdaptabilitySubscription-Based Platform DevelopmentUser Story ImplementationWork Planning and PrioritizationFeature ManagementConfusion Matrix AnalysisKPI AnalysisDashboard UI DesignOperations ManagementTechnical TroubleshootingIterative Problem SolvingInformation ResearchStakeholder ManagementCritical ThinkingPartnership DevelopmentCross-Departmental CoordinationFraud DetectionFault-Tolerant System DesignProfitability AnalysisCloud ComputingLarge Dataset HandlingVerbal CommunicationWorkflow Design (Process Mapping)Strategic PlanningData Repetition PreventionData CatalogingData Accessibility ImprovementSDLC Process ApplicationAgile MethodologyProblem SolvingResource AllocationData-Driven RecommendationsGradient DescentXGBoost ModelingUnsupervised LearningFinancial AnalysisCredit Risk AnalysisMonitoring AutomationData GovernanceData Integrity ManagementData Flow DesignData ModelingProcess ImprovementAI-Powered Tool DevelopmentProcessing Pipeline OptimizationBroadcast Join ImplementationDatabase Index CreationDatabase Query OptimizationData LoadingAsynchronous ProgrammingBatch Processing ImplementationApache KafkaPostgreSQL Database UsageStreaming Data ProcessingDatabase Table CreationETL Pipeline DevelopmentUnstructured Data ProcessingData HandlingData TransformationAPI-Based Data CollectionWorking with CSV FilesJSON Data HandlingAmazon S3Parquet File Format UsageAWS GlueData ExtractionExploratory Data Analysis (EDA)AWS Athena UsageQuickSight UsageData Architecture DesignAWS DeploymentData MigrationData Engineering

Proof of Work

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Education

Bachelor of Engineering, B.E. (Hons.)

Birla Institute of Technology & Science (BITS), Pilani · 2018 — 2022

Contact details

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