Azure Data Engineer

𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞:
Cloud Platforms: AWS (S3, EMR, Redshift, Glue, Lambda), Azure (Synapse, Data Factory, Data Lake, Databricks)
Big Data & Distributed Computing: Hadoop, Spark, Kafka, HBase, Hive, Sqoop, Airflow
ETL/ELT & Data Pipelines: Informatica IICS, Microsoft Fabric, Apache Spark (Scala/Python), Snowflake
Security & Identity Management: Microsoft Entra (AAD), RBAC, OAuth, Key Vault, Azure Log Analytics
Databases & Analytics: SQL Server, Oracle, Cosmos DB, Cassandra, MongoDB, Adobe Analytics, Power BI
Scripting & DevOps: Python, Scala, Shell Scripting, Terraform, Jenkins, Git, Kubernetes, Docker
Industries & Domains: Banking & Finance, Cloud Solutions, Data Warehousing, Marketing Analytics

𝐑𝐞𝐜𝐞𝐧𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 & 𝐑𝐨𝐥𝐞𝐬:
JPMC (Sr. Azure Data Engineer) – Built & optimized Azure Data Factory & Databricks ETL pipelines, enhanced security monitoring using Microsoft Entra & Log Analytics.
FHL Bank (Azure Data Engineer) – Integrated real-time data processing with Kusto, enhanced data governance, and developed A/B testing strategies with Adobe Analytics.
Babson Capital (Spark Developer) – Developed Spark-based applications for large-scale data processing & analytics.
Brain Vision, Khusaki, & Other Clients – Hands-on experience with Hadoop, AWS, GCP-based data engineering, data migrations, and cloud analytics solutions.