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Sayed AlamSA
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Sayed Alam

@sayedalam

I build secure, petabyte-scale cloud data platforms and real-time analytics systems.

United States
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What I'm looking for

I'm looking to lead secure, scalable cloud data platforms, real-time analytics, and modern Lakehouse initiatives while guiding engineering teams and improving reliability, governance, and cloud efficiency.

At Coder, I architect petabyte-scale multi-cloud Lakehouse platforms across Databricks, Snowflake, AWS Lake Formation, and Palantir Foundry. I scaled real-time processing to more than 5 billion daily events at 99.99% availability while maintaining HIPAA and GDPR compliance.

I've modernized legacy Hadoop and Hive environments into AWS, Azure, and Databricks platforms, built streaming pipelines handling 2 billion daily interactions, and reduced BI refresh times by 50%. My work spans dbt, Airflow, Spark, Kafka, Python, Scala, data quality, dimensional modeling, and healthcare data foundations.

I lead platform and DevOps teams, automate reliable delivery through Terraform and CI/CD, and use FinOps practices to reduce cloud spend. At Coder, these efforts cut annual compute costs by 28%, reduced deployment incidents by 60%, and lowered disaster-recovery MTTR to under 15 minutes.

Experience

Work history, roles, and key accomplishments

CO
Current

Lead Data Engineer

Coder

Jan 2022 - Present (4 years 7 months)

Architected petabyte-scale multi-cloud Lakehouse platforms using Databricks Unity Catalog, Snowflake, and AWS Lake Formation, enforcing zero-trust dynamic data masking and RBAC to maintain full HIPAA and GDPR compliance. Scaled real-time streaming architectures using Spark, Kafka, and Snowflake Snowpipe, expanding system processing capacity to over 5 billion daily events while maintaining 99.99% o

Education

Degrees, certifications, and relevant coursework

BS

Bachelor of Science in Computer Science

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science degree completed in 2014.

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