Dave User
@daveuser
Results-driven Big Data Engineer and Data Scientist delivering scalable, secure cloud data solutions.
What I'm looking for
I am a results-driven Big Data Engineer and Data Scientist with a strong academic background (MSc in Artificial Intelligence and Data Science) and hands-on experience building scalable, secure data pipelines and AI solutions in cloud environments (AWS, GCP, Azure).
I have led end-to-end migrations to AWS, automated ETL with Glue and Python, implemented data lakes/warehouses, and developed reusable Terraform and Python frameworks for production deployments. I combine deep technical skills (Python, Spark, Terraform, PyTorch, NLP, computer vision) with strong project management and agile experience to deliver high-impact analytics and ML systems.
I am collaborative, detail-oriented, and committed to continuous learning and ethical AI practices, with proven success improving performance, reducing operational costs, and enabling data-driven decision-making across organizations.
Experience
Work history, roles, and key accomplishments
Data Engineer
Integrated Software Developers Group
Sep 2024 - Present (1 year 3 months)
Led end-to-end migration of legacy reporting systems to AWS, automated ETL with AWS Glue and Python, and implemented data lake/warehouse solutions to improve accessibility and reduce operational costs.
Data Engineer
Giacom
Apr 2023 - Jun 2024 (1 year 2 months)
Built and managed AWS-based data pipelines using S3, Glue, Athena and Lambda, implemented Terraform IAC and reusable Python/TF modules, and deployed via CI/CD to improve ETL scalability and reliability.
Data Analyst
MTR Group Limited
Oct 2022 - Mar 2023 (5 months)
Developed Tableau analytics and sales dashboards to inform partner performance, provided training and ensured data model documentation and data integrity for monthly reporting.
Python Developer
Integrated Software Developers Group
Jan 2020 - Aug 2021 (1 year 7 months)
Designed and delivered scalable Python applications using Django/Flask, improved performance reducing processing time by 30%, and introduced automated testing to cut bugs by 20%.
Education
Degrees, certifications, and relevant coursework
University of Hull
Master of Science, Artificial Intelligence and Data Science
Master of Science in Artificial Intelligence and Data Science focusing on advanced analytics, machine learning, and data engineering techniques.
Tech stack
Software and tools used professionally
Google Tag Manager
Apache Spark
Data Studio
GitHub
Bitbucket
Kubernetes
Jenkins
GitHub Actions
Salesforce
Jupyter
NumPy
Pandas
PySpark
DBeaver
MySQL
PostgreSQL
MongoDB
Hadoop
Gmail
Django
Google Analytics
Databricks
Microsoft Teams
Terraform
PyCharm
Azure DevOps
Jira
Java
JSON
PowerShell
XML
TensorFlow
PyTorch
scikit-learn
Keras
Kafka
Linux
Heroku
Trello
Elasticsearch
Aruba
Microsoft Excel
Scraper API
Airflow
SQL
Hugging Face
LangChain
Bash
Agentic
Availability
Location
Authorized to work in
Website
bit.ly/40EuefGPortfolio
github.com/TheMlengineer-pySocial media
Job categories
Skills
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