Bench+
← Back to talent
A

BENCH+ PROFILE

Adilet

Data Engineer
Azure data platforms, ETL orchestration, data warehousing, and BI enablement

Senior Data Engineer with hands-on Azure data platform experience across ingestion, transformation, warehousing, reporting, observability, and production support. Best aligned with enterprise data engineering roles involving Azure Data Factory, Airflow, SQL, Python, cloud migration, and BI-facing data models.

BEST-FIT USE CASE

Building and supporting Azure-based enterprise analytics platforms that integrate multiple operational systems into governed data lake, warehouse, and BI-ready datasets.

Not the primary fit: Less aligned with roles centered on model development, production MLOps ownership, frontend product engineering, mobile development, or pure platform operations without a data engineering mandate.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Implemented ingestion and transformation pipelines with Azure Data Factory and Python, including data quality checks and lineage for an internal planning and resource-allocation system.

02

Enhanced a production analytics platform by stabilizing integrations, refactoring data models into star and snowflake schemas, and orchestrating ETL with Airflow and Azure Data Factory.

03

Migrated selected datasets from Oracle to MS SQL while preserving business logic and tuning complex T-SQL queries.

04

Introduced Grafana dashboards for latency, throughput, failures, and cloud cost visibility in a production support context.

05

Built CI/CD automation in Azure DevOps using Ansible roles for multi-environment deployments during cloud migration work.

06

Developed Oracle APEX, Forms, and Reports modules for laboratory reporting and document workflow automation.

07

Integrated an ML scoring API into a risk analysis application through batch scoring, Azure Functions orchestration, logging, and dashboard delivery.

WORKING STYLE

How they show up

  • Works with business users to clarify requirements before implementation and incorporates feedback through demos and iterative updates.
  • Has experience in Scrum and Kanban delivery environments.
  • Documents data structures, integrations, and operational changes as part of implementation work.
  • Has collaborated with distributed engineering teams and business stakeholders in English-speaking project communication.