Position: AWS Python Data Engineer
Category: Data Engineer
English level: intermediate
Years of experience: 11

I can proud of my participation in each project I have worked for. I believe that Customers I have worked for can say that Products I developed absolutely met their expectations.

A lot of software products were developed and commissioned into Production during 21 years. Many legacy Software decommissioned and thrown into trash can.

N.B. Please!!! See detailed info in attached resume or on LinkedIn
N.B. Please!!! See detailed info in attached resume or on LinkedIn

Summary
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• 21 years as software engineer(backend). Cloud and on-premise application development.
• 10 years as Technical Lead of software development team

• Certified in Python 3.4 
• AWS Certified Solutions Architect – Associate

Developer skills in Cloud solutions:
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• AWS developer: Lambda, SNS, SQS, API Getaway, RDS Postgresql, DynamoDB, Timestream DB, S3/Athena, Glue, DMS, Step Functions, Batch
• AWS DevOps: VPC, CDK/SAM, ECR, Fargate and Batch
• AWS IoT: Core, SiteWise, IMC

Other developer skills:
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• Python 3.5/3.8, sync and async programming
• Flask and Sanic frameworks: RESTful API micro service development
• Using of Docker virtualization
• Python + Celery, Reddis, Rabbitmq, Kafka, 
• SQL DB (PostgreSQL), NoSQL(Cassandra), Apache Spark
• SQLAlchemy / ORM / Raw T-SQL
• Data base developer(PostgreSQL, Oracle PL/SQL, MS SQL)

Projects:
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Jan 2022 - now

Project: mining company. AWS IoT solution to support research of zero-emission truck development
Role: AWS Data Engineer
Tech details: AWS: IMC, IoT Greengrass/Core/SiteWise, Lambda, Kinesis, Glue, S3/Athena

Nov 2021 - Jan 2022

Project: food&beverage production. Research of solution for BigData processing, storage and reporting
Role: AWS Data Engineer
Tech details: AWS: CDK/SAM, Lambda, Timestream DB, Dynamo DB, S3/Athena, Glue

Aug 2021 - Nov 2021

Project: traders consulting. Migration of on-premise solution to AWS
Role: AWS Data Engineer
Tech details: AWS: CDK/SAM, VPC, Lambda, DMS, RDS, Glue, Step Function

Oct 2016 - Aug 2021

Project: Medical Insurance, USA. Corporate WEB application built on micro service platform
Position: Technical Lead / Senior Software Developer
Tech details: Python, WEB, Flask/Sanic, REST API, microservices, Kafka, RabbitMQ, Celery, Postgres PL/SQL, Spark

2014-2016

Project: Banking and Financial, Germany. Bank Data Warehouse based on Oracle technologies
Position: Software Engineer
Tech details: Oracle Pl/SQL, Python

2000-2014(more than 10 projects)

Projects: Banking, Metallurgy, Heavy industry. ERP, Billing systems based on self-developed and third party Software
Position: Senior Software Engineer, Technical Lead
Tech details: Oracle Pl/SQL, Postgres PL/SQL
1. I see myself as AWS Python Data Engineer/Developer with Big Data specialization in future.

2. Project is a long-term. Project technical stack is a really huge; a lot of different AWS services are used.

3. Roles and responsibilities of each project member are clearly defined.

4. Office is located in Dnipro or full remote

5. Project road map exists and project follow this map. Project goals are understood for all team. Project goals are reachable.