Daniel Heaton Email
Senior Data Platform Engineer @ Singletrack
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Daniel Heaton Location
- Addlestone, GB
Daniel Heaton Work
- Senior Data Platform Engineer @ (August 2026 - Present)
- Data Engineer @ (July 2025 - July 2026)
- Data Engineer @ (April 2022 - July 2025)
- Data Engineer @ (January 2021 - April 2022)
- Platform Engineer @ (January 2020 - October 2020)
- Software Engineer - Data Analytics @ enModus (June 2018 - September 2018)
- Software Development Intern @ (June 2017 - August 2017)
Daniel Heaton Education
- Imperial College London
Master of Science - MS (Computing (Machine Learning))
2018-2019 - University of Birmingham
Bachelor of Engineering - BE (Computer Systems Engineering)
2015-2018
Daniel Heaton Skills
- AWS Lambda
- Agile Project Management
- Amazon EC2
- Amazon Redshift
- Amazon S3
- Amazon Web Services (AWS)
- Apache Spark
- Artificial Intelligence
- Azure Databricks
- Big Data
- C
- C++
- CircleCI
- Cloud Computing
- Continuous Integration and Continuous Delivery (CI/CD)
- Convolutional Neural Networks (CNN)
- Data Analysis
- Data Engineering
- Data Infrastructure
- Data Integration
- Data Science
- Data Visualization
- Data Warehousing
- Deep Learning
- Docker
- Elasticsearch
- Extract, Transform, Load (ETL)
- Fargate
- Genetic Algorithms
- Google Cloud Platform (GCP)
- Hadoop
- JSON
- Java
- Keras
- Linux
- Machine Learning Algorithms
- Machine learning
- MapReduce
- Microprocessors
- MongoDB
- Networking
- Neural Networks
- NumPy
- Pandas (Software)
- Platform Engineering
- PostgreSQL
- Prolog
- PySpark
- PyTorch
- Python
- R
- Recurrent Neural Networks (RNN)
- Redis
- Reinforcement Learning
- Research
- SQL
- Scala
- Scikit-Learn
- Security
- Software Development
- Support Vector Machine (SVM)
- TensorFlow
Daniel Heaton Summary
- Daniel Heaton, based in Addlestone, GB, is currently a Senior Data Platform Engineer at Singletrack. Daniel Heaton brings experience from previous roles at Awin Global, SingleView, electronRx and Talent Ticker - Predictive Market Intelligence. Daniel Heaton holds a 2018 - 2019 Master of Science - MS in Computing (Machine Learning) @ Imperial College London. With a robust skill set that includes AWS Lambda, Agile Project Management, Amazon EC2, Amazon Redshift, Amazon S3 and more.
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