
Technical Lead with 4.9+ years of experience in data engineering and DevOps, specializing in ETL/ELT pipeline development for large-scale telecom data platforms. Experienced in handling CDRs, mediation files, billing events, and fraud data within Revenue Assurance and Fraud Management systems.
Strong hands-on expertise in PySpark, Python, SQL, Pandas, and NumPy, along with Microsoft Azure, Azure DevOps, CI/CD pipelines, Docker, Kubernetes, Terraform, Git, and GitHub. Proven ability to manage production-critical systems, perform root cause analysis, and ensure high availability, performance, and data reliability across enterprise environments.
Programming & Scripting:
Python, PySpark, SQL, Bash, Pandas, NumPy
Data Engineering & ETL:
ETL / ELT Pipelines, Batch Processing, Streaming Data Processing, Data Ingestion, Data Transformation, Data Validation, Data Quality Checks
Big Data Technologies:
Apache Spark, Kafka, Hadoop, Hive, Presto
Cloud & DevOps:
Microsoft Azure, Azure DevOps, CI/CD Pipelines, Docker, Kubernetes, Terraform
Version Control:
Git, GitHub, Azure Repos
Databases:
Oracle SQL, PostgreSQL
Monitoring & Operations:
Grafana, Production Support, Incident Management, Root Cause Analysis (RCA)
Operating Systems:
Linux, Windows
Domain Expertise:
Telecom Domain, CDR Processing, Mediation Systems, Billing Events, Revenue Assurance, Fraud Management