27.08.2026 aktualisiert
100 % verfügbar
Senior Data Engineer | Data Platform Engineer | Full Stack Engineer
Baku, Azerbaijan
Weltweit
PhD Candidate, Artificial Intelligence (ongoing) – Master's Degree, AdministrationÜber mich
Senior Data Engineer and full-stack consultant with 5+ years of experience building production data platforms, ETL/ELT pipelines, lakehouse workloads, APIs, analytics systems and business automation.
Skills
dbtSql Data WarehouseAutomatic Data Processing EquipmentApache AirflowCloud-EngineeringData ArchitectureDateninfrastrukturData IntegrationData Transformation ServicesData WarehousingInfosphere DatastageWeb EntwicklungPostgreSQLMicrosoft SQL Server Data Engine (MSDE)DataOps
Data Engineering & ETL/ELT Pipelines
Expertise in building and operating production data pipelines, ETL/ELT workflows, incremental processing, CDC recovery, historical backfills, and data-quality checks using Python, SQL, Apache Airflow, Apache Spark, and dbt across fintech, telecom, and energy domains.
Cloud & Platform Engineering
Hands-on experience with AWS (S3, Athena, Glue, EKS), GCP (Cloud Run, SQL, Storage, Scheduler), Kubernetes, Docker, Terraform, CI/CD pipelines, Linux, and Bash for scalable and reliable data platform operations.
Data Platforms & Lakehouse Architecture
Proficiency in Apache Iceberg, StarRocks, Trino, PostgreSQL, MS SQL Server, Oracle, MinIO/S3, and Redshift/BigQuery concepts for designing and operating high-performance lakehouse and analytical storage workloads.
Streaming & Reliability
Knowledge of Kafka, late-event handling, reconciliation, monitoring, alerting, Prometheus, Grafana, and observability practices for ensuring platform reliability and incident ownership.
Software Engineering & APIs
Development of backend APIs and engineering tools using FastAPI, Flask, Django, REST APIs, C#/.NET, TypeScript/JavaScript, and Git, with a focus on testing and automation.
Full-Stack & Web Development
Delivery of production web and data systems for international clients using Python, FastAPI, Django, Flask, React, TypeScript, and GCP Cloud Run with automation integrations.
Data Quality & Incident Management
Experience in incident ownership, root-cause analysis, large-scale reconciliation, corrective data work across 30M+ records, and validating results against authoritative warehouse sources.
Analytics & Reporting
Design and optimization of ETL pipelines and reporting solutions over large Oracle datasets, building Python-based analytics applications with Streamlit and Django for operational and self-service use cases.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2020
Sprachen
EnglishverhandlungssicherRussiangutTurkishgut
Projekthistorie
Build and operate production data pipelines and marts across AWS-based data lake/lakehouse workloads using Python, SQL, Airflow, Spark, dbt, Athena, Iceberg, and StarRocks. Design incremental processing, CDC recovery, historical backfills, and data-quality checks for late-arriving and high-volume transactional data. Improve platform performance and reliability across distributed compute and storage. Automate backup, restore, monitoring, and operational workflows; investigate production incidents and deliver root-cause fixes. Performed large-scale reconciliation and corrective data work across 30M+ records.
Delivered production web/data systems for international clients using Python, FastAPI/Django/Flask, GCP Cloud Run/SQL/Storage/Scheduler, React/TypeScript, and automation integrations. Built API-driven workflow automation and data-sync services connecting CRM, project-management, quoting, and operational systems with secure cloud infrastructure and monitoring. Developed 3D product configurators and internal operational tools while owning backend APIs, deployment, data flows, and cloud environments end to end.
Orchestrated Apache Airflow on Kubernetes and developed Spark/dbt ELT pipelines executed through Trino. Operated MinIO/S3-compatible lakehouse storage and PostgreSQL workloads, improving query and storage performance. Built internal APIs and engineering tools with Flask/FastAPI and TypeScript/React, delivered through CI/CD.