Summary
Dale Anthony is a seasoned Big Data Engineer with 12 years’ experience designing and operating high-throughput, cloud-first data platforms across AWS, Azure, and GCP. He currently architects real-time trade processing pipelines at Broadridge that stream millions of trades daily into an S3-backed lakehouse, using Spark, AWS MSK, Glue, and Redshift to deliver minutes‑level insights for BI and data science. His background spans serverless and containerised patterns—Lambda, Kinesis, EKS, Databricks—and he’s applied DBT, Snowflake, and Terraform to make ETL reliable, versioned, and cost-efficient. Dale pairs deep Spark and Kafka expertise with practical production skills in monitoring, incident response, and data quality automation (including Pytest for pipelines). Notably, he built a knowledge-extraction system using a fine-tuned LLM and a vector DB to surface entities from legal documents, demonstrating an appetite for applied ML and retrieval systems within data platforms. Based in London, he brings a pragmatic, cross-cloud mindset that balances performance tuning, governance, and scalable architecture.
12 years of coding experience
10 years of employment as a software developer
Master's degree, Data Science and Artificial Intelligence, Master's degree, Data Science and Artificial Intelligence at Bournemouth University
Bachelor's degree, Computer Technology/Computer Systems Technology, Bachelor's degree, Computer Technology/Computer Systems Technology at Nehru Arts and Science College