Abid Syed
Senior Data Engineer | Apache Spark, AWS, Azure
- Role
- Senior Data Engineer at Datasap Inc
- Location
- Yonkers, NY, US
- LinkedIn followers
- 500 followers
About Abid Syed
Senior Data Data Engineer with 10+ years of experience designing and scaling modern data platforms, highperformance data pipelines, and lakehouse architectures across multi-cloud environments. Strong expertisein Python and advanced SQL, with a proven track record of building scalable data ingestion, transformation, and processing pipelines for large-scale analytics and market intelligence systems.Extensiveexperience across AWS, Microsoft Azure, Google Cloud Platform (GCP), and Microsoft Fabric,including Azure Data Factory, Azure Synapse, OneLake, Fabric Data Engineering, AWS S3,Glue, Lambda, Redshift, and BigQuery. Skilled in integrating external APIs, third-party datasources, and event-driven architectures into robust and scalable data ecosystems.Hands-on experiencewith Apache Spark, PySpark, Kafka, Airflow, dbt, and Snowflake for building distributed data processing systems across both batch and real-time pipelines. Experienced in integrating data into search andindexing platforms such as Elasticsearch, OpenSearch, and Apache Solr to enable scalable search,enrichment, and retrieval use cases.Strong background in data modeling, dimensional modeling, dataquality management, and pipeline optimization, ensuring high data reliability, performance, andgovernance. Proven ability to work in startup and fast-paced environments with strong ownership,autonomy, and cross-functional collaboration.Additionally experienced in building AI-ready and GenAIdata pipelines, preparing structured datasets for machine learning and advanced analytics use cases. Focused on delivering secure, scalable, and production-grade data solutions using best practices inDataOps, CI/CD, monitoring, observability, and data governance
Experience
Senior Data Engineer
Apr 2024 — Present · US
Leading the design and delivery of cloud-native, AI-ready data platforms supporting Healthcare and FinTech use cases. Driving lakehouse and real-time streaming architectures using Databricks, Snowflake, Azure Data Factory, Kafka, and CDC frameworks to enable analytics, ML, and decision automation.Focused on data governance, security, and regulatory compliance (HIPAA, SOX, GDPR, AML/KYC) using Unity Catalog, Immuta, Purview, and Data Contracts, while partnering with business, risk, and compliance teams to translate complex requirements into scalable, production-ready platforms.
Education
COMSATS Institute of Information and Technology
Bachelor's degree, Computer Science
2014 — 2018
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