Data Engineer at Broadband Insights

Engineered an enterprise AI Genie using LangChain, OpenAI GPT-4, and Pinecone (RAG) to automate broadband analytics and executive reporting. Developed ETL pipelines with Python, Dagster, and Snowflake handling 10M+ records daily with 60% improvement in data freshness. Built microservices for AI-driven anomaly detection using scikit-learn and AWS Lambda, reducing downtime by 45%. Automated deployment and testing workflows with Docker, Kubernetes, and GitLab CI/CD enabling zero-downtime releases. Technologies include Python, LangChain, OpenAI API, Pinecone, Snowflake, Dagster, AWS, GCP, Docker, Kubernetes, GitLab CI/CD.

Back End Developer Intern at SkyIT Services

Designed a Flask API orchestration of BigQuery pipelines on Kubernetes, improving query throughput by 50%. Implemented IAM and LDAP security controls, lowering unauthorized access by 40%. Automated BigQuery data ingestion workflows with Python and Cloud Functions, improving reliability by 40%.

Data Consultant at Data Consulting Services (Hyderabad)

Built and maintained 15+ Python microservices supporting 10K+ users for ITSM analytics. Automated 80% of ServiceNow workflows via REST API integration, cutting ticket processing time by 60%. Migrated 5 TB+ legacy data to AWS Data Lake and implemented CI/CD (Jenkins + GitLab), reducing release errors by 70%.

AI DevOps Engineer (Pilot) at SkyIT Services

Designed and deployed Flask APIs orchestrating BigQuery pipelines on Kubernetes; improved query throughput by 50%. Implemented IAM + LDAP security controls; automated BigQuery data ingestion with Python and Cloud Functions; integrated RAG workflows with AWS/GCP.

Data Engineer at Broadband Insights

Designed, implemented, and maintained scalable ELT pipelines using Snowflake and Python, processing 10M+ records daily and improving end-to-end data reliability by 60%. Orchestrated and monitored production data workflows using Dagster with Airflow-equivalent patterns, reducing data latency by 45% and ensuring SLA adherence. Managed integration and migration of legacy data sources into modern AWS- and GCP-based architectures, reducing manual data handling by 50% and enabling cloud-first analytics. Implemented comprehensive data quality checks, observability metrics, and automated alerts, decreasing pipeline failures by 40% and improving BI data trust. Optimized Snowflake schemas, transformations, and query performance, reducing analytics query latency by 30% and lowering warehouse compute costs by 25%. Automated ingestion and transformation workflows using Python and dbt, accelerating reporting delivery timelines by 35%. Authored and maintained detailed documentation for ELT pipelines,

Backend Developer Intern at SkyIT Services

Built Python-based data ingestion and transformation services supporting cloud analytics workloads, increasing pipeline throughput by 50%. Assisted in orchestrating scheduled data workflows and automated jobs, reducing manual operational effort by 40%. Developed SQL-driven transformations and supported cloud warehouse queries, accelerating BI report and ad-hoc analysis delivery. Deployed containerized data services on Kubernetes, improving deployment consistency and reducing data pipeline issues by 40%. Implemented IAM and RBAC controls to secure data access, improving compliance and reducing unauthorized access incidents by 40%.