Sakina Saifee
@sakinasaifee
Senior Data Engineer modernizing Azure lakehouses and migrations, improving performance and delivery end-to-end.
What I'm looking for
I’m a Senior Data Engineer with 5 years of experience designing, modernizing, and delivering enterprise data platforms on Azure, Databricks, and Microsoft Fabric. I’ve delivered lakehouse architectures, large-scale migrations, and data discovery across Canada, Japan, Qatar, and the wider MEA region.
I focus on measurable outcomes—improving pipeline performance by up to 40% and reducing manual effort by 30%. I’m equally strong in client-facing pre-sales and solutioning, translating complex architectures into clear business value for senior business and technical stakeholders.
Across programs, I’m comfortable owning end-to-end technical delivery or leading data workstreams across distributed teams and multiple time zones.
In my most recent role, I led migrations (including Teradata to Databricks) and architected Microsoft Fabric lakehouses with RBAC governance, metadata-driven ingestion pipelines, and semantic models for Copilot natural-language querying and Power BI reporting. I also bring a practical engineering foundation through Spark (PySpark/Scala/SparkSQL), streaming with Kafka, and strong data modeling patterns like medallion and SCD.
Experience
Work history, roles, and key accomplishments
Big Data Consultant
Celebal Technologies
May 2024 - Sep 2025 (1 year 4 months)
Led MEA pre-sales discovery and solutioning for enterprise data platform modernization across Azure Databricks and Microsoft Fabric. Delivered Teradata-to-Databricks and Fabric lakehouse implementations, modernizing 40+ legacy ETL jobs and improving pipeline performance by ~40% while reducing manual effort by 30%.
Data Engineer
Rws Moravia
Apr 2022 - Dec 2023 (1 year 8 months)
Worked on end-to-end migration of enterprise Finance and HR domain data from on-prem systems to Microsoft Dynamics 365 across multiple regions. Built ADF/Synapse pipelines and Spark Scala transformations (including fuzzy matching for entity resolution), reducing runtime by 20% and manual effort by 30%.
Associate Data Engineer
Rws Moravia
Jan 2021 - Mar 2022 (1 year 2 months)
Developed PySpark jobs on AWS EMR for customer viewership data processing and supported Kafka + Spark Streaming integration for real-time analytics. Loaded processed results into partitioned Delta Lake tables on AWS S3 and supported a PoC integrating Kafka, Spark, and Cassandra for low-latency analytics.
Education
Degrees, certifications, and relevant coursework
Shri G.S. Institute of Technology and Science
Bachelor of Engineering, Computer Science
Grade: CGPA: 7.5
Bachelor of Engineering in Computer Science completed in 2020, with CGPA 7.5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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