Waseem Mohammad
Data Engineer @Cencora
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WORK HISTORY
Data Engineer @Cencora
Dallas, TX, US
Designed and implemented cloud-based data architectures using Azure Databricks, Snowflake, Synapse, and ADLS Gen2, ensuring scalability, performance, and cost efficiency.• Designed and implemented scalable Azure data architectures using Databricks, Azure SQL, and ADLS Gen2 to support enterprise analytics and reporting workloads.• Built and maintained ETL and ELT pipelines using Azure Data Factory and Databricks leveraging PySpark and Spark SQL for large scale data ingestion and transformation.• Developed robust data pipeline frameworks to ingest structured and semi structured data from APIs, relational systems, and flat files into ADLS Gen2.• Built ETL/ELT pipelines with Azure Data Factory and Databricks (Spark, PySpark, Delta Lake) for both batch and streaming workloads.• Architected and owned an end‑to‑end cloud data platform using Data Factory, Databricks, ADLS Gen2, Synapse Analytics, and Snowflake, supporting more than 50 analytics, BI, and ML use cases under agreed SLAs.
EDUCATION
Dr. Babasaheb Ambedkar Marathwada University, Aurangabad
Bachelor of Engineering - BE, Information Technology
ABOUT WASEEM MOHAMMAD
Greetings, LinkedIn community!As a seasoned data engineering professional I specialize in building and maintaining large-scale data solutions that empower organizations to make smarter, faster decisions. My background includes leading the migration of legacy environments to modern Azure-based architectures, optimizing data pipelines for performance, and implementing both real-time and batch processing across diverse business domains.I thrive in collaborative, fast-paced environments where complex data challenges require innovative thinking and hands-on technical expertise. My approach is grounded in performance optimization, strong stakeholder communication, and a commitment to delivering solutions that are both reliable and scalable.My toolkit is a blend of various tools and technologies, including but not limited to:Azure Cloud: Azure Databricks, Azure Data Factory, Data Lake Storage Gen2, Synapse Analytics, SQL Database, Blob Storage, Key Vault, Databricks Unity CatalogAWS S3, EMR, Glue, Redshift, Lambda, RDS, Athena, CloudWatch, CloudFormationBig Data & Streaming: Apache Spark, PySpark, Delta Lake, Hadoop (HDFS, Hive, MapReduce, YARN, Sqoop), Kafka, Cassandra, HBaseData Warehousing: SnowflakeProgramming & Scripting: Python, SQL (SQL Server, Oracle)ETL & Data Warehousing: SSIS, Informatica, Data Modeling, Star/Snowflake SchemaVisualization & BI: Power BI, Tableau, QlikView, SSRSDevOps & Automation: Azure DevOps, GitIf you’re looking for a data engineering partner who combines deep technical expertise with a collaborative, results-driven mindset, I’d love to connect and explore how I can help drive your data initiatives forward.
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