Toshe N.
Data Engineer
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 yearsExperience7
Data Engineer
- Extracted data from BigQuery.
- Orchestrated data extraction using Airflow DAGs.
- Loaded data into Redshift.
BigQuery
Apache Airflow
Redshift
Senior Data Engineer
- Built data pipelines in Databricks
Databricks
Senior Data Engineer
- 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
- 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.
AWSPython
AWS Lambda
AWS S3
Terraform
Senior Data Engineer
- Designed and built serverless infrastructure for data extraction, preparation, and loading from various sources using AWS technologies like Lambda, S3, Kinesis Firehose, and Glue.
- Architected and developed a big data infrastructure platform, ensuring high availability and security.
- Developed Python scripts for Amazon Lambda to request and transform data from APIs.
- Redesigned infrastructure for greater scalability and maintenance.
- Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability;
- Importing Data from 70+ different API’s using Pentaho Data Integration, transforming the data and loading in Aurora database;
- Creating DWH Solution using AWS Redshift; Loading data in Redshift from AWS S3 and AWS Aurora using Pentaho Data Integration;
- Hands-on experience with Amazon Athena, Amazon Data Pipeline, CloudFront, CloudWatch, SQS and other services of the AWS family; Writing complex SQL queries.
AWSApache SparkPython
AWS SQSAWS Lambda
BI Developer
- Maintaining an existing BI architecture for Call Center; Industry developed with MS SQL Server 2014 SSIS/SSAS/SSRS;
- ETL – fixing data quality issues;
- Reporting Services - enhancing the charts and KPI gauges.
- Supporting multiple time zones for Call Centers with multiple sites
MSSQL
T-SQLSQL
SSISOracle Developer
- Writing complex PL/SQL code, functions, and procedures;
- Designing and creating forms and reports for the needs of the bank;
- Maintaining and upgrading the current banking software based on Oracle Forms 6i and Oracle Database 11g;
- Data migration from Banksoft core banking system to Oracle Flexcube core banking;
- Control reports for data validation of data migration;
- Developing reporting modules of banking systems.
SQL
Oracle
PL/SQLEngineering excellence
All Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Toshe stands.
Score 189 · Top 10% of engineers
Certificates 3
Issued Dec 2022 - Expires Dec 2023
Issued Jun 2020 - Expires Jun 2023
Issued Dec 2022 - Expires Dec 2023
Education
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