Alexey Maslov
Verified Expert in Engineering
Data Science Developer
Potsdam, Brandenburg, Germany
Toptal member since October 1, 2021
Alexey has worked as a data engineer, data warehouse architect, and data analyst since 2010. He possesses excellent problem-solving and decision-making abilities to identify challenges and resolutions essential to running smooth business operations. Alexey is well-versed in communicating with diverse professionals to complete work without compromising quality and accuracy.
Portfolio
Experience
- SQL - 10 years
- Git - 8 years
- IT Project Management - 6 years
- MySQL - 6 years
- Python - 4 years
- Google Cloud Platform (GCP) - 4 years
- Google BigQuery - 4 years
- Apache Airflow - 2 years
Availability
Preferred Environment
MySQL, BigQuery, Python, Git, Google Data Studio, Pandas, Redshift, AWS IoT, Data Build Tool (dbt), Apache Airflow
The most amazing...
...project I've developed is a data analysis platform to quickly and easily access complete, accurate, and up-to-date data for the VEON Ltd. marketing department.
Work Experience
Senior Data Engineer
parcelLab
- Designed and implemented a modern data platform utilizing AWS services such as Redshift and Kinesis to enhance data processing efficiency by 30%, significantly improving reporting speed for stakeholders.
- Led the migration of legacy data pipelines to a more robust architecture using dbt and Airflow, reducing data retrieval times by 20% while ensuring seamless integration with existing systems.
- Collaborated with cross-functional teams to support data scientists in deploying machine learning models effectively, resulting in a 25% increase in predictive analytics accuracy across projects.
- Developed automated CI/CD processes using Terraform and Docker that streamlined deployment cycles for data workflows by 40%, allowing for quicker updates and feature releases.
- Created and maintained deployment for dbt and Airflow (GitHub, CI/CD, Terraform, Docker, Kubernetes).
- Developed “Data Engineering Strategy,” a step-by-step guide to achieving data stack maturity.
Head of Development Department
Dvigus
- Facilitated software development of Russia's second-best CPA platform for real estate, increasing data quality by 15%.
- Designed a data lake platform through Google Cloud, Data Studio, and BigQuery to implement data-driven decision-making procedures, increasing operational efficiency by 7%.
- Led the technology stack modernization and transferred the infrastructure from Germany to Russia, reducing operating costs by 15%.
- Managed a team of nine developers and oversaw the production of three new software applications, successfully integrating the company’s existing infrastructure.
Team Lead
Vectoranalytics
- Developed the concept, technical requirements, and documentation for a call tracking service project with a $200,000 budget.
- Implemented data warehouse (DW) architecture and developed a service API.
- Improved the product through research, gathering data and feedback from 50+ internal and external clients, achieving 10% of improved client satisfaction.
- Managed two IT projects, collaborating with 11 developers, engineers, and analysts, reducing IT operating costs by 15%.
Advertising Specialist
Dvigus
- Automated data collection from five different advertising systems through an API with Python, increasing operational efficiency by 20%.
- Spearheaded the launch of nine advertising campaigns, analyzing and improving campaign effectiveness by 25% by utilizing Google Ads, Facebook, and Yandex Direct tools.
- Set up Google Analytics, Yandex Metrica, and Google Tag Manager, resulting in an increased tracking for reporting while increasing reporting accuracy by 3%.
Data Analyst
VEON
- Created a data warehouse for the marketing department and wrote extract, transform, and load (ETL) pipelines through PL/SQL for building data marts, increasing data quality by 45%.
- Collaborated with database analysts in building a predictive analytics model, which helped define the most valuable regions for 4G-internet covering.
- Developed a web portal to view dashboards and download statistics reports, helping 50+ regional departments plan, conduct, and analyze marketing activities, resulting in an 18% increased volume of data transfer.
Experience
CPA Platform | Real Estate
https://callexchange.ruAs a data engineer, I developed a cloud-based (GCP) analytics platform for stakeholders, which helped implement a data-driven decision-making approach in the company.
Call Tracking Platform
https://vectoranalytics.ruI was a co-founder, team lead, and DW architect on this project. I led the development team and coordinated with vendors, legal, and designers.
Analytical Web Portal | Telecom
I was an Oracle DB architect, PL/SQL data engineer, and mediator between stakeholders and back-end developers.
The platform helped 50+ regional departments to plan, conduct, and analyze marketing activities.
Education
Master's Degree in Physics
Lomonosov Moscow State University - Moscow, Russia
Certifications
Data Science Practicum
Yandex
Skills
Libraries/APIs
REST APIs, Apiary API, Pandas, Google Ads API
Tools
Git, Jira, MATLAB, GitLab, GitLab CI/CD, Apache Airflow, Trello, Postman, Terraform
Languages
SQL, Python, Bash Script, Excel VBA, Bash
Storage
MySQL, DB, PL/SQL, Databases, Relational Databases, Data Pipelines, Redshift
Paradigms
ETL, Business Intelligence (BI)
Platforms
Oracle, Linux, Google Cloud Platform (GCP), AWS IoT
Other
Google BigQuery, Data Modeling, Data Manipulation, Excel 365, Metabase, Google Data Studio, Data Engineering, Architecture, Business Intelligence (BI) Platforms, Physics, Physical Electronics, Statistics, Regression Modeling, Classification, Natural Language Processing (NLP), Reporting, IT Project Management, Machine Learning, Big Data, Data, Data Analysis, Data Analytics, Third-party APIs, Data Warehousing, Data Architecture, Data Science, Dashboards, Big Data Architecture, Generative Pre-trained Transformers (GPT), Data Build Tool (dbt)
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