Sameeha Mohammed
Senior Data Engineer | AWS, Azure, GCP | Databricks, Spark, Pyspark | Data Warehousing & ETL | Certified as a MuleSoft Developer -1
- Role
- Senior Data Engineer at Broadridge
- Location
- New Haven, CT, US
- LinkedIn followers
- 500 followers
About Sameeha Mohammed
Senior Data Engineer with 9+ years of experience designing scalable data pipelines and cloud-native data platforms across finance, healthcare, and insurance domains.Expertise in AWS, Azure, GCP, Databricks, Spark, and SQL with strong focus on data quality, governance, and performance optimization.Passionate about building reliable, analytics-ready data solutions and mentoring teams.
Experience
Senior Data Engineer
Jan 2024 — Present · Lake Success, NY, US
Designed and developed scalable cloud-native data pipelines on AWS to move data from source systems to reporting and analytics layers.Built data reconciliation and audit frameworks using AWS Databricks & PySpark to ensure data quality, accuracy, and compliance.Developed optimized dimensional data models, curated datasets, and reusable data frameworks supporting BI, regulatory, and analytics use cases.Implemented robust data governance, lineage, and monitoring standards aligned with SEC and FINRA compliance requirements.Led modernization initiatives migrating legacy ETL workflows to cloud-native architectures with CI/CD and DevOps best practices.Developed Spark jobs to process structured and semi-structured data (JSON, XML, CSV) into partitioned enterprise data warehouse tables.Built PySpark transformations to replicate and enhance legacy SQL-based logic from on-prem systems.Orchestrated AWS services including S3, EC2, Glue, Athena, Redshift, Lambda, Step Functions, SageMaker, and CloudWatch.Integrated monitoring dashboards, alerts, and logging to improve pipeline observability and proactive issue detection.Partnered with cybersecurity teams to enforce encryption, access controls, and secure data handling practices.Performed root-cause analysis for production issues and led cross-team incident resolution efforts.Contributed to enterprise data cataloging by documenting metadata, lineage, and business rules.Championed best practices in code quality, modular design, and automate.
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