p***********c

9 years of IT industry experience with a strong background in data engineering 1.3 years of specialized
experience as an Data Engineer and designing, developing, and managing cloud-based data pipelines, data
warehouses, and reporting solutions.
Proficient in implementing end-to-end ETL/ELT workflows using Azure Data Factory (ADF), integrating data
from diverse sources like SQL Server, Blob Storage, Azure Data Lake Storage Gen1/Gen2, REST APIs, and on
premises systems.
Strong expertise in Synapse Analytics, SQL Database, Azure Data Lake Storage, and Azure Logic Apps for
scalable, secure, and high-performance data processing and storage.
Hands on experience in Databricks, leveraging PySpark and Spark SQL for distributed data processing
large-scale data transformations, and complex querying on big data workloads.
Experienced in building and optimizing data pipelines, performing data ingestion, cleansing,
transformation, and loading into structured and unstructured storage solutions.
Skilled in writing complex SQL queries, stored procedures, Python,spark, and performance tuning for data
extraction, aggregation, and analysis across large datasets.
Well-versed in data quality checks, data validation, and reconciliation processes to ensure consistency and
accuracy in data delivery.
Strong problem-solving, analytical, and communication skills with a proven ability to quickly learn new
tools, technologies, and business processes.