Ashley Vines
@ashleyvines
Experienced Data Engineer with 10+ years in advanced analytics.
What I'm looking for
I'm a seasoned Data Engineer with over a decade of experience in advanced analytics, machine learning, and data engineering. My expertise spans across various domains, including generative AI, NLP, and computer vision. I have a strong proficiency in Python and am skilled in utilizing tools like Pandas, NumPy, and PyTorch for data analysis and modeling. My background in Agile Scrum allows me to deliver actionable insights that optimize business outcomes.
In my current role as a Senior Data Engineer at Centre Technologies, I have designed and optimized data pipelines using Databricks and implemented robust ETL processes for seamless data integration. My experience includes leveraging AWS and Azure services to streamline data processing tasks, and I have a proven track record of developing aesthetically pleasing dashboards using Tableau and Power BI to enable data-driven decision-making.
Previously, I worked at JungleScout, where I developed software infrastructure for data ingestion and storage, directly reducing customer churn by 4% through predictive analytics. My analytical skills have been honed through extensive experience in exploratory data analysis, statistical modeling, and A/B testing, allowing me to present insights effectively through interactive dashboards.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Centre Technologies
Mar 2020 - Present (5 years 4 months)
Designed, developed, and optimized data pipelines and workflows using Databricks, Snowflake, Redshift, or Synapse. Architected and implemented robust ETL processes for seamless data integration across diverse systems.
Data Engineer
JungleScout
Jan 2017 - Present (8 years 6 months)
Developed software infrastructure for data ingestion and storage for further analytics. Implemented automated aggregation of heterogeneous data sources to architect a data-driven solution that uses predictive analytics to identify churn, directly reducing customer churn by 4%.
Data Analyst
FTI Consulting
Jan 2014 - Present (11 years 6 months)
Developed and implemented Python scripts to automate internal reporting processes, reducing the time for report generation from an hour to under 5 minutes. Leveraged Jupyter Notebook to streamline data analysis workflows and ensure faster insights for team members.
Education
Degrees, certifications, and relevant coursework
University of Melbourne
Bachelor's Degree, Computer Science
Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained expertise in various aspects of software development and data management.
Availability
Location
Authorized to work in
Job categories
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