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Sakina SaifeeSS
Open to opportunities

Sakina Saifee

@sakinasaifee

Senior Data Engineer modernizing Azure lakehouses and migrations, improving performance and delivery end-to-end.

United Arab Emirates
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What I'm looking for

I’m looking for senior remote roles (EOR/contract) where I can own end-to-end Azure/Databricks/Fabric data platform delivery—designing modern lakehouses, leading migrations, and partnering with stakeholders to turn complex architecture into business value.

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

Celebal Technologies logoCT

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%.

RM

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 logoSS

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.

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