S Cole User
@scoleuser
Senior Data Engineer specializing in scalable cloud data platforms, ETL/ELT, and real-time pipelines.
What I'm looking for
I am a Senior Data Engineer with 7+ years designing, building, and maintaining scalable data pipelines for batch and real-time streaming systems across healthcare, SaaS, and digital commerce domains.
I have deep expertise in advanced SQL, Python for data engineering, ETL/ELT, and cloud-native lakehouse architectures, and I routinely use Spark/PySpark, Kafka, Airflow, and ClickHouse to optimize performance and scalability.
My work has reduced pipeline failures by 38%, cut reporting latency by 45%, and decreased query latency by 52% through migrations, partitioning, and compute optimization strategies.
I hold multiple cloud and data engineering certifications (Google Cloud Professional Data Engineer, AWS Data Analytics Specialty, Azure DP-203, Snowflake SnowPro, Databricks, and dbt) and I focus on delivering reliable, monitored, and performant data platforms that enable analytics, ML, and operational use cases.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Pulse Metric Solutions
Jan 2022 - Present (4 years 1 month)
Architected and maintained large-scale ETL/ELT pipelines for clinical, claims, and behavioral datasets, reducing pipeline failures by 38% through improved Airflow orchestration and data quality checks.
Data Engineer
Insight Loop Technologies
Aug 2019 - Dec 2021 (2 years 4 months)
Built scalable ELT pipelines and real-time ingestion using Kafka and Pub/Sub patterns to power product analytics, cutting reporting latency by 45% through transformation tuning and partitioning.
Junior Data Engineer
Commerce Sight Analytics
Jun 2017 - Jul 2019 (2 years 1 month)
Developed SQL-based ingestion and transformation pipelines and automated API jobs to support e-commerce analytics, improving pipeline reliability with logging, validation, and monitoring.
Education
Degrees, certifications, and relevant coursework
null
Bachelor's Degree, Computer Science
Bachelor’s Degree in Computer Science; details on institution and dates not provided.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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