Arian F.
Data Engineer
One of his standout accomplishments was the optimization of his company’s cloud infrastructure. By conducting in-depth analysis and adjusting resource configurations and utilization, Arian was able to cut costs by 30%, earning widespread recognition for his contributions.
Known for his meticulous attention to detail and thoughtful problem-solving approach, Arian delivers robust, high-performance data solutions across every project.
Main expertise
Git4 years
YAML3 years
Fact Data Modeling3 years
Dimensional Modeling3 yearsExperience6
Senior Data Engineer
- Working with a large global retail client to rebuild and improve their data platform, focusing on practical use of Databricks and Azure tools;
- Building and maintaining ETL pipelines in Databricks, handling data from source systems through to final tables;
- Developing a set of employee and HR KPIs that help stakeholders track hiring, retention, and other workforce trends. These KPIs are actively used by leadership to support planning and decision-making;
- Coordinating with technical and non-technical teams to ensure data is structured correctly and available when needed.
AWS
Databricks
Apache Spark
Python
SQL
Senior Data Engineer
- Migrated production pipelines from Alteryx to Databricks, improving end-to-end performance and making the workflows easier to run and maintain;
- Led the move from Databricks Hive Metastore to Unity Catalog, standardizing governance and access without disrupting existing workloads;
- Led the build of a new employee movement tracking product end-to-end + data model where I delivered clean, consistent data that powers the dashboard.
DatabricksPythonSQL
Azure Data Factory
Data Engineering
Data Engineer - Consultant
- Modernized the data infrastructure for a global oil and gas company by optimizing the data architecture to enhance efficiency and improve accessibility.
- Led the end-to-end development of Key Performance Indicators (KPIs), from gathering requirements to deploying solutions in production environments.
- Ensured that KPIs were fully aligned with business objectives and served as critical tools for driving organizational success.
- Implemented best practices for data management and governance, supporting the long-term scalability and reliability of the data ecosystem.
AWSDatabricksApache SparkPythonSQL
Python Lecturer
- Designed and delivered engaging Python lectures for a data science bootcamp, with a focus on data analysis and introductory machine learning concepts.
- Developed practical lesson plans that emphasized hands-on learning and real-world applications of Python.
- Guided students through foundational Python programming, ensuring clarity in core data science and machine learning principles.
- Provided personalized support to students, addressing individual challenges and fostering confidence in applying Python skills to projects.
Project ManagementPythonData Engineering
Data Enginner
- Achieved a 30% reduction in AWS costs through strategic optimization and resource management.
- Led the migration of a data lake to Databricks, ensuring seamless integration and improved performance.
- Managed end-to-end data engineering processes, including data extraction, transformation, and loading (ETL) pipelines.
- Leveraged cloud environments for efficient data storage, maintenance, and scalability.
- Developed detailed data products tailored to clients’ requirements, earning recognition for delivering high-quality solutions.
AWSDatabricksApache SparkPythonSQL
Data Engineer/Analyst
- Developed the company’s first patient reporting system, converting raw datasets into actionable insights.
- Utilized SQL and Python to extract, clean, process, and validate real-world patient data.
- Designed and implemented data transformation workflows to ensure accuracy and reporting consistency.
- Created visualizations and reports to present data in a user-friendly format, supporting ongoing analysis and decision-making.
Flask
PostmanPythonSQL
NumPyEngineering excellence
All Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Arian stands.
Score 179 · Top 15% of engineers
Certificates 5
Issued Dec 2025 - Expires Dec 2027
Credential ID dcecc68a-40f3-4f0d-a9d5-1ce7dd9bdc15
DatabricksApache SparkData Engineering
Data Modeling
Issued Jun 2025
Credential ID 3448EF1BC8BD058D
AzureIssued Dec 2025 - Expires Dec 2027
Credential ID dcecc68a-40f3-4f0d-a9d5-1ce7dd9bdc15
DatabricksApache SparkData EngineeringData ModelingEducation
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