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Daniel Attard

@danielattard

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Senior Data Engineer at BrainRocket, automating Snowflake deployments and cutting Airflow DAG release time in half.

Malta

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At BrainRocket, I automate data platform deployments and build resilient pipelines. I automated Airflow DAG deployments via S3, cutting time-to-release by half, and implemented version control and a deployment strategy for Snowflake objects.

Previously, I created Databricks and Azure infrastructure with Terraform at RightShip and implemented data warehouse and master data management solutions. At Thynk Software Ltd., I developed a project orchestrating parallel ETL processes and led load testing for a client’s auction system.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

BrainRocket

May 2025 - Present (1 year 5 months)

Architecting data models and eliminating technical debt. Configured Kubernetes (EKS) workloads, implemented ETLs with Airflow, and automated CI/CD and Docker image deployments.

Snowflake SQL AWS Terraform Gitlab Python Kubernetes (EKS)Airflow Docker CI CD

DataOps Lead

RightShip

May 2024 - Apr 2025 (11 months)

Created and managed Databricks and Azure infrastructure using Terraform. Governed Unity Catalog and implemented CI/CD automation and monitoring dashboards.

Databricks Azure Terraform Python CI CD Unity Catalog Monitoring

Senior Data Engineer

RightShip

Sep 2022 - Apr 2024 (1 year 7 months)

Implemented a Master Data Management solution using medallion architecture and a data warehouse with snowflake schema to normalize data for reporting.

MDM Data Warehouse Dimensional Modeling (Star And Snowflake Schemas)Data Modeling ETL

Full-Stack Software Developer and Data Engineer

Thynk Software Ltd.

Feb 2018 - Aug 2022 (4 years 6 months)

Pioneered a project orchestrating parallel ETL processes and led load testing of an auction system simulating thousands of concurrent users.

ETL Load Testing Fullstack Development Data Engineering

Education

Degrees, certifications, and relevant coursework

University of Malta

M.Sc., Artificial Intelligence

Activities and societies: Units studied: Statistics for Data Scientists, Big Data Processing, Intelligent Algorithmic Trading, Financial Engineering, Applied Machine Learning.

Graduated with a M.Sc. in Artificial Intelligence. Thesis focused on leveraging uncertainty information in deep-learning for algorithmic trading using Monte-Carlo Dropout.

MCAST

B.Sc., Software Development

Grade: Second Class Upper Division

Graduated with a B.Sc. in Software Development with Honours in Second Class Upper Division. Thesis focused on the entropy of fingerprints for encryption.