Toshe N.

Data Engineer

North Macedonia

Trusted member since 2025

17 years of experience

He has extensive experience with cloud platforms, including AWS and Azure, and is proficient in developing end-to-end solutions using Python and SQL. Toshe emphasizes clarity in data architecture, performance optimization, and long-term maintainability in all his projects.

Throughout his career, he has successfully led cross-functional teams to deliver impactful data products. By aligning technical delivery with business objectives, Toshe ensures that data systems support organizational growth, insights, and strategic decision-making.

Main expertise

SQL17 years

Data Engineering17 years

Data Modeling10 years

ETL9 years

18+

Experience4

Data Engineer

CrazyLabs•

Entertainment and Media

Aug 2025 · 7m

Extracted data from BigQuery.
Orchestrated data extraction using Airflow DAGs.
Loaded data into Redshift.

BigQuery

Apache Airflow

Redshift

Senior Data Engineer

RLDatix•

Healthcare

Jun 2025 · 9m

Built data pipelines in Databricks

Databricks

Senior Data Engineer

Crayon•

Information Technology (IT) and Services

May 2022 - Feb 2025 · 2y 9m

Architected scalable data solutions, including a Data Lake on Azure ADLS2, utilizing Synapse and Spark for advanced analytics.
Designed and implemented end-to-end data pipelines using Azure Databricks, ensuring seamless data ingestion, transformation, and loading.
Developed metadata-driven, Python-based Azure Durable Functions to ingest data from APIs such as Zendesk and Navision.
Leveraged Databricks to transform and optimize datasets across multiple layers.
Participated in presales activities, delivering innovative data architecture solutions to clients.

Databricks

Apache Spark

Python

Azure

Azure Blob storage

Data Team Lead

Alite International•

Information Technology (IT) and Services

Jan 2020 - Apr 2022 · 2y 3m

Led a team of data engineers across multiple projects, providing technical guidance and ensuring the delivery of high-quality data solutions.
Led the architecture and migration of on-premises Oracle databases to cloud-based data warehouses and data lakes, aligning with organizational goals.
Developed a Data Lake on S3 using AWS Glue Crawlers and Glue Catalog; converted CSV files to Parquet using Athena CTAS and partitioned the data on S3.
Extracted BLOB XMLs from on-premises Oracle databases using Lambda functions, converted XMLs to JSON, and loaded them into the Data Lake.
Designed data integration strategies for extracting, transforming, and loading data from APIs into Redshift and S3.
Participated in presales activities, providing data migration and reporting solutions.