Solomon D. J.
Technical Leader Who Executes | Director / Architect in Cloud Data Engineering & Machine Learning | MLOps | Cloud-Native Pipelines | Scalable AI Infrastructure
- Role
- Senior Cloud Data Engineer at CardWorks
- Location
- Salt Lake City, UT, US
- LinkedIn followers
- 500 followers
About Solomon D. J.
I bridge the gap between legacy data reliability and modern AI innovation. Whether you…
Experience
Senior Cloud Data Engineer
Dec 2023 — Present · South Jordan, UT, US
Led the design and implementation of the company’s first end-to-end, cloud-native data pipeline, integrating on-premises SQL Server data into a modern ML platform using AWS Glue, Apache Airflow, S3 (Parquet), and Snowflake. Enabled downstream machine learning model training, feature engineering, and advanced analytics across business units.Architected and developed modular, parameterized AWS Glue ETL jobs, securely extracting on-prem data via JDBC, staging it in S3 (Parquet) for auditability, and loading into Snowflake using deep learning ready schemas to support both real-time and batch ML workloads.Implemented CI/CD pipelines with GitHub Actions to enable rapid, version-controlled deployment of ETL workflows. Aligned data delivery with continuous ML experimentation cycles, improving iteration speed and model deployment reliability.Mentored senior engineers and collaborated across Infrastructure, Networking, and Security teams to resolve critical provisioning and connectivity challenges (TCP/IP ports, IAM roles, JDBC configs), ensuring uninterrupted cloud-to-on-prem data flow.Owned and enhanced the enterprise Data Lakehouse architecture, consolidating diverse file formats into a unified data model supporting high-throughput ML pipelines. Resolved performance bottlenecks and implemented system-level enhancements to maintain high-quality, ML-consumable data output.Assumed leadership of a multi-vendor, globally distributed Data Lakehouse platform, aligning long-term data strategy with enterprise AI/ML goals, and ensuring production readiness through collaborative engagement with international contractor teams.Met with senior executives across Networking, AWS Infrastructure, Audit, Compliance, and Server teams to secure permissions for JDBC and network connectivity, framing within the context of supporting secure AI/ML data pipelines and ensuring alignment with company policies for scalable deep learning infrastructure.
Education
Brigham Young University - Hawaii
4 yr Graduation
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