Open to opportunities

Saify K

@saifyk

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Senior Data Engineer specializing in cloud-native, streaming, and scalable data platforms.

United States

Message

What I'm looking for

I seek roles building and scaling cloud-native data platforms and real-time pipelines, with strong collaboration, governance, and ML enablement.

I am a Senior Data Engineer with 9+ years building scalable, cloud-native data ecosystems across fintech, healthcare, and SaaS domains.

I design and implement ETL/ELT pipelines, lakehouse architectures, real-time streaming solutions, and feature stores using AWS, Azure, and GCP, enabling ML/AI workloads and real-time analytics.

I've led migrations of legacy systems to modern cloud architectures—reducing infrastructure costs by up to 40% and improving pipeline reliability by 60%—and delivered production-grade monitoring, governance, and compliance for HIPAA, PCI-DSS, and SOX environments.

I enjoy mentoring engineers, collaborating with product and data science teams, and building self-serve data platforms that accelerate business value, improve decision-making, and scale across hundreds to thousands of users.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Etleap

Aug 2022 - Present (3 years 5 months)

Architected and scaled an AWS lakehouse supporting 100+ TB/day ingestion and improved query performance for 1,000+ users; migrated 200+ legacy ETL jobs to dbt+Airflow, cutting infrastructure spend by 30% and improving reliability by 60%.

AWS S3 Glue Redshift EMR Kafka Spark DBT Airflow Grafana Data Quality

Senior Data Engineer

RTS Labs

Nov 2018 - Jul 2022 (3 years 8 months)

Built ETL/ELT pipelines and Snowflake/Azure Synapse lakehouses for healthcare data ensuring HIPAA/HL7/FHIR compliance; delivered real-time Kafka+Spark pipelines that reduced clinical alert latency by 50% and automated governance to cut audit effort by 70%.

Snowflake Azure Synapse Kafka Spark HIPAA Collibra Great Expectations Data Governance

Data Engineer

CareRev

Mar 2016 - Nov 2018 (2 years 8 months)

Developed Python+SQL ETL pipelines and optimized dimensional data models, improving dashboard query speeds by 10x; automated reporting with Airflow, reducing manual workload by 75% and supported migration to AWS Redshift.