korada Lakshman
Open to work4 years experienceASSOCIATE DEVELOPER
Azure Data Engineering and Cloud
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
47 skillsGitHub Activity Evidence
GitHub Footprint Not Connected
Recruiters value verified code contributions. Linking a GitHub account displays live heatmaps, active contribution metrics, repository languages, and push activity tags.
Work Experience
Associate Developer
Vunathi Technologies
- Built and maintained full-stack web application features using React.js on the frontend and Node.js/Python on the backend, delivering responsive UIs and reliable server-side logic for enterprise ITSM workflows.
- Designed and implemented RESTful APIs to expose ticket management, SLA analytics, and dashboard data; documented all endpoints using OpenAPI/Swagger standards and validated with Postman.
- Wrote and optimised PostgreSQL and SQL queries using indexing, execution plan analysis, and query rewriting — achieving a 35% improvement in data retrieval speed and reducing dashboard page-load latency.
- Built dynamic, real-time management dashboards providing continuous visibility into ticket status, SLA performance, team workload, and KPIs for stakeholders and senior management.
- Integrated ITIL v4-aligned SLA automation into the backend including dynamic ticket categorisation, priority-based routing, and automated escalation rules — contributing to a 30% MTTR reduction.
- Implemented RBAC and ACL security layers in the application backend to enforce least-privilege access, ensuring audit readiness and compliance with enterprise data governance policies.
- Collaborated with product, engineering, and operations teams across Agile sprint cycles — contributing to requirement analysis, code reviews, and continuous delivery improvements.
- Created and maintained API documentation, technical runbooks, deployment guides, and knowledge base articles — reducing documentation overhead by 50% and improving team onboarding.
Assocate Developer
LUNA SOFTWARE SOLUTIONS
- Tuned Azure Synapse star-schema warehouse with hash-distributed tables and columnstore indexes, improving query performance by 60% and cutting storage costs 20% via Z-Order clustering and vacuum jobs.
- Built a real-time streaming pipeline (Event Hubs + Spark Structured Streaming) processing 1M+ events/day at sub-5- second latency, powering live Power BI dashboards.
- Designed a metadata-driven ADF framework for dynamic pipeline generation, cutting new data-source onboarding effort by 60%.
- Collaborated with BI, DevOps, and business stakeholders to translate reporting requirements into scalable, governed data models across multiple domains.
- Mentored 3 junior engineers on Azure Data Factory and PySpark best practices, code reviews, and CI/CD standards, improving team delivery quality.
- Automated ADF/dbt deployments with Git versioning and 40+ data quality tests, enabling zero-downtime releases and reducing data quality incidents by 55%.
- Developed and maintained PySpark notebooks for data cleansing, transformation, and validation across multiple client environments.
- Assisted in migrating legacy SSIS packages to Azure Data Factory pipelines, improving processing efficiency by 30%.
- Wrote unit and integration tests for ETL components and participated in Agile sprint ceremonies, supporting on-time delivery of 15+ data integration tasks.
Projects
FlowTrack — IT Ticket Management System
- Architected and delivered a full-stack ITSM web platform end-to-end — from system design and API contract definition through React.js frontend, Node.js backend, and PostgreSQL data layer to production deployment.
- Designed a complete REST API layer using OpenAPI standards, enabling clean integration between frontend dashboards, automation engines, and backend business logic with consistent error handling and response schemas.
- Built a responsive React.js frontend with modular components for ticket submission, real-time status tracking, SLA gauges, and role-based views — ensuring an intuitive UX for support agents, team leads, and executives.
- Developed backend services in Node.js and Python to handle ticket lifecycle management, SLA computation, automated escalation triggers, and integration with ServiceNow APIs.
- Applied PostgreSQL query optimisation techniques — indexing, query rewriting, execution plan analysis — improving data retrieval by 35% and supporting high-concurrency usage across multiple enterprise departments.
- Owned the complete SDLC lifecycle from requirements through QA and deployment, achieving a 30% reduction in MTTR and a 40% reduction in manual operational effort across the support organisation.
NovaMart Retail Analytics Platform
- Led end-to-end data platform delivery for NovaMart.
- Built ADF pipelines ingesting daily POS transactions, inventory feeds, and supplier records from on-premises SQL Server into ADLS Gen2; designed a Delta Lakehouse with SCD Type 2 tracking.
- Delivered Synapse Analytics reporting layer powering Power BI dashboards; eliminated 70% of the client's manual Excel reporting effort.
- Set up Azure DevOps CI/CD with automated dbt quality gates.
Enterprise ITSM Data Lakehouse Platform
- Architected ADF -> ADLS Gen2 -> Databricks -> Synapse Analytics -> Power BI pipeline for ServiceNow data; CDC-based incremental loads cut pipeline runtime by 70%.
- Delivered real-time SLA breach detection via Azure Event Hubs + Spark Streaming.
- Migrated on-premises SQL Server DWH to Azure Lakehouse; 50% infrastructure cost reduction, 3x query performance gain.
Real-Time Banking Fraud Detection Pipeline
- Engineered Event Hubs -> Spark Structured Streaming pipeline processing 2M+ transactions/day at sub-5-second latency.
- Rule-based PySpark anomaly detection reduced fraud response time from hours to under 60 seconds.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Query Performance
Optimised PostgreSQL/SQL queries reducing data retrieval time by 35% and cutting dashboard page-load latency.
MTTR Reduction
Engineered ITIL v4-aligned backend SLA automation workflows contributing to a 30% reduction in Mean Time to Resolution.
Operational Efficiency
Deployed workflow automation tools reducing manual operational effort by 40% across the support team.
Documentation Automation
Maintained intelligent knowledge base and runbook systems reducing documentation effort by 50%.
Measurable Outcomes
60% faster query performance, 70% reduction in pipeline runtime, and 99.5% uptime SLA across Retail, Banking, and IT Service Management domains.
About Details
Professional Bio
I'm Korada Lakshman, an Azure Data Engineer with experience in designing and building scalable data solutions on Microsoft Azure. I work with Azure Data Factory, Azure Databricks, PySpark, Azure Data Lake Storage Gen2, Azure Synapse Analytics, SQL, Delta Lake, Power BI, Azure DevOps, and Azure Key.
M.Tech in Transportation Engineering
Andhra University ( - 2024)
B.Tech in Civil Engineering
NSRIT College, Visakhapatnam ( - 2020)
M.Tech in Transportation Engineering
Andhra University, Visakhapatnam (2022 - 2024)