Syed Haris Sherazi

Experienced Data Engineer specializing in Apache Spark–driven data platforms, with a strong track record of designing, building, and optimizing enterprise-scale ETL and ELT pipelines across cloud and on-premises environments. Hands-on expertise in Microsoft Fabric, Azure Databricks, Azure Data Factory, and SSIS, delivering high-performance distributed data processing solutions. Highly proficient in PySpark, Spark SQL, Python (Pandas), and advanced SQL/T-SQL, with deep experience in Lakehouse architectures, dimensional modeling, MDM initiatives, and analytics-ready data warehouses. Proven ability to optimize Spark workloads through partitioning, shuffle tuning, caching, and cluster-level performance improvements. Strong background in data governance, security, and reliability engineering, coupled with an ownership mindset and effective collaboration across analytics, engineering, and business teams to drive scalable, data-driven decision making. Key Proficiencies:Designed and delivered large-scale ETL/ELT pipelines in Microsoft Fabric using Lakehouse architecture to power analytical and reporting workloads.Built highly scalable ingestion frameworks for structured and semi-structured data from SQL Server, Azure Data Lake, REST APIs, and cloud sources. Developed complex data transformations using PySpark DataFrames, Spark SQL, and Pandas within Fabric notebooks to efficiently process high-volume datasets. Managed Delta-style Lakehouse tables with Spark, ensuring schema enforcement, versioning, and efficient reads/writes. Designed and maintained analytics-ready data models, including star and snowflake schemas, to support enterprise reporting and downstream BI use cases. Engineered and optimized big data processing pipelines, enabling scalable batch and near real time analytics over high-volume datasets within Lakehouse data warehouses.Lead data integration projects, efficiently combining disparate data sources using ETL processes and modern data tools to ensure seamless data flow and accuracy. End to end solution business process design and JDA WMS product configuration with different ERP/Legacy system.Knowledge on Product architecture and installing new versions of JDA WMS product.Experience in data migration, rollout creation, hotfix installations, cutover and Go-live and post go- live activities.