Lakshman Korada
Azure Data Engineer
About
Azure Data Engineer with 3+ years of experience designing enterprise-grade, cloud-native ETL/ELT pipelines, Medallion Data Lakehouse architectures, and real-time streaming solutions on Microsoft Azure, plus current hands-on experience as an AI/ML Engineer working on large language models (LLM evaluation, prompt engineering, and training data quality). Proven expertise in Azure Data Factory, Azure Databricks (PySpark), Azure Synapse Analytics, ADLS Gen2, Delta Lake, and Azure Event Hubs. Delivered measurable outcomes — 60% faster query performance, 70% reduction in pipeline runtime, and 99.5% uptime SLA — across Retail, Banking, and IT Service Management domains. Experienced in client-facing delivery, agile project execution, and building scalable data platforms that power AI-driven analytics and business intelligence.
Skills & Expertise (48)
Work Experience
AI/ML Engineer
Turing
Aug 2026 - Present
Worked on large language model (LLM) projects, evaluating and improving model outputs for accuracy, reasoning quality, and instruction-following. Wrote and refined prompts and test cases to probe LLM behavior across coding, reasoning, and edge-case scenarios. Reviewed and annotated model responses against detailed quality guidelines, giving structured feedback used to improve model performance (RLHF/SFT-style workflows). Built and validated Python code samples and solutions used for model training and evaluation data. Identified failure patterns such as hallucinations, logic errors, and unsafe outputs, and documented them for the research team. Collaborated with a distributed team and met delivery and quality benchmarks against fixed delivery timelines.
Associate Developer
Vunathi Technologist
Mar 2025 - Feb 2026
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.
Data Engineer
UNIZEN Technologies Pvt Limited
Feb 2022 - Mar 2025
Integrated Azure Key Vault and Azure Monitor alerting across all pipelines, achieving 99.5% uptime SLA. Building and maintaining ADF pipelines to ingest multi-source data into ADLS Gen2 and Delta Lake, supporting downstream analytics for new client onboarding. Collaborating with data architects to design Bronze/Silver/Gold layer schemas and contributing to Azure DevOps CI/CD automation for data workflows.
Education
M.Tech – Transportation Engineering - Andhra University
2022 - 2024 · Afghanistan
B.Tech – Civil Engineering - NSRIT College
2016 - 2020 · Afghanistan
Certifications
Deloitte Data Analytics Virtual Job Simulation
Forage · 2026
ServiceNow Developer Fundamentals
Great Learning · 2025
Interested in this developer?
Profile Score Breakdown
Profile Overview
Availability Details
Visa Status
Citizen
Relocation
Depends on Offer
Skills (48)
Click a skill to find developers with the same skill
