Arif Ismailov
Tbilisi
Summary
Data Engineer with expertise in Snowflake and Kubernetes, skilled in developing automated deployment pipelines and managing DWH infrastructures. Proficient in ELT processes, data modeling, and API integrations, with a strong ability to enhance data efficiency and collaboration within engineering teams. Committed to optimizing data workflows and delivering impactful business insights.
Overview
4
4
years of professional experience
Work History
Data Engineer
PLATA
CDMX
03.2024 - Current
1. Maintained and improved DWH infrastructure uptime to 99.9% through effective management of Airflow, Kafka Connect, and Airbyte on Kubernetes.
2. Developed and optimized dbt models and Jinja macros for efficient data transformation, supporting 20+ stakeholders in making informed business decisions. 3. Created and maintained ER diagrams to ensure alignment with Data Vault 2.0 standards, fostering better collaboration across teams.
4. Implemented GitOps-based CI/CD pipelines with Gitlab CI/CD, facilitating seamless automated deployments and improving workflow efficiency.
5. Built Python pipelines for seamless API data ingestion into Snowflake, improving data accessibility and reliability.
Analyst of Analysis and Reporting Department
Renaissance bank
Moscow
04.2022 - 04.2024
Analyst of Monitoring Department
DSM Group
Moscow
07.2021 - 04.2022
Education
Master - Thermal molecular physics
Moscow Power Engineering Institute
Russia01.2022
Bachelor - Thermal Engineering
Moscow Power Engineering Institute
Russia01.2020
Skills
- Technologies: Kubernetes, Helm, Gitlab CI/CD, AWS S3, Kafka, Airflow, Snowflake, dbt, Data Vault 20, Python, Grafana
- Tools: Docker, Kafka Connect, Prometheus, PlantUML, Debezium
- Practices: CI/CD, ELT, REST API integrations, SCD2
Accomplishments
Data Pipeline Scalability: Built Python-based API ingestion framework for Snowflake, integrating 10+ public APIs (Google Adv, Meta, TikTok etc) with automated retries and deduplication.
Data Quality: Implemented dbt tests and Snowflake alerts for Data Vault 2.0, reducing data pipeline failures by 45%.
Infrastructure Optimization: Automated CI/CD pipelines using Helm and Gitlab CI/CD, reducing deployment time for a several services from 1 hour to 5 minutes
Cost Efficiency: Migrated legacy ETL workflows to Kubernetes-managed Airflow, cutting cloud storage costs by 30% through optimized task scheduling.
Personal Information
Title: Data Engineer
Languages
Russian
First Language
English
Upper Intermediate (B2)
B2
German
Upper Intermediate (B2)
B2
Turkish
Intermediate (B1)
B1
Timeline
Data Engineer
PLATA
03.2024 - Current
Analyst of Analysis and Reporting Department
Renaissance bank
04.2022 - 04.2024
Analyst of Monitoring Department
DSM Group
07.2021 - 04.2022
Master - Thermal molecular physics
Moscow Power Engineering Institute
Bachelor - Thermal Engineering
Moscow Power Engineering Institute
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