Experience & Education
Accenture
Hyderabad, India · Nov 2024 – July 2026
- Designed data ingestion pipelines connecting 9+ observability platforms (CloudWatch, Dynatrace, Jira, ServiceNow), normalizing heterogeneous JSON/JSONB payloads into a multi-tenant PostgreSQL database with 99%+ data accuracy across concurrent writes.
- Built a rules-driven correlation engine that links cross-source events — incidents, metrics, logs, tickets — by entity key and time proximity, cutting manual investigation time for SRE teams.
- Built a knowledge retrieval system using Amazon Titan Embeddings to index 50K+ SRE runbooks and postmortems in OpenSearch, surfacing relevant context automatically for faster incident response.
- Implemented audit logging, role-based access control (RBAC), and data lineage tracking across the multi-tenant platform to meet governance and compliance requirements.
- Integrated multiple LLM providers (Azure, OpenAI, Bedrock) for intent extraction and analysis recommendations, backed by a semantic caching layer with 90%+ hit-rate that cut API costs and latency.
AWS
OpenSearch
RBAC
LLMs
- Engineered scalable ELT pipelines with Python, PySpark, and dbt, implementing SCD Type 2 incremental loads for high-availability enterprise analytics.
- Architected real-time, event-driven streaming workflows using Kafka and AWS Lambda for fault-tolerant, asynchronous processing.
- Tuned distributed SQL workloads — partition strategy, shuffle reduction, indexing — cutting processing time and query latency by up to 35%.
- Owned the SDLC for data applications end-to-end: Unix shell scripting, GitHub Actions CI/CD, and rigorous unit testing for production-grade delivery.
Kafka
Lambda
dbt
CI/CD
M.Tech in Artificial Intelligence current
Indian Institute of Technology (IIT) Roorkee
B.Tech in Biotechnology completed
National Institute of Technology Calicut
Data Science & Artificial Intelligence (DA)
Computer Science & Engineering (CSE)
Building Retrieval Agents on Databricks
Architecture of production-grade retrieval-augmented generation (RAG) systems, with hands-on retrieval agents on Databricks.
Skills: Artificial Intelligence (AI)
Professional Data Engineer in Python
Advanced data engineering principles and Python-driven workflows through DataCamp's Professional Data Engineer track.
Skills: Data Engineering, Python
View credentialAssociate Data Engineer in SQL
Relational database design, data warehousing architecture, and structured data manipulation with PostgreSQL and Snowflake.
Skills: SQL, Data Engineering, PostgreSQL, Snowflake
View credentialFundamentals of AI Engineering
Bridging software engineering and AI architecture — RAG systems, embeddings and vector databases, ingestion pipelines, and AI observability.
Skills: Artificial Intelligence, Generative AI
View credential
Modern Data Engineering Essentials
End-to-end pipelines with DuckDB, dbt, and orchestration via Airflow, Dagster and Prefect — including Dagster + dbt integration.
Skills: Data Engineering
View credentialQuantum Computing: Algorithms & Qiskit
NPTEL (IIT Madras) — Elite + Silver, scoring 75% and ranking Top 5% of 2,746 candidates. Deutsch-Jozsa, Grover's and Shor's algorithms with hands-on Qiskit.
Skills: Quantum Computing, Qiskit, Linear Algebra
Mathematical Foundations for ML
NPTEL (IISc Bangalore & NITK Surathkal) — Elite + Topper (Gold), scoring 92% and placing Top 5%. Linear Algebra, Probability & Statistics, Multivariable Calculus.
Skills: Linear Algebra, Probability & Statistics, ML
SQL (Advanced) Certificate
HackerRank SQL (Advanced) skill certification — query optimization, data modeling, indexing, window functions and pivots.
Skills: SQL, Query Optimization
View credential