Anton Shchederkin Email & Phone Number

Netherlands

Amsterdam, North Holland, Netherlands

As a Data Engineer at Xccelerated, I am currently enrolled in an intensive 13-month training program that combines learning with practical experience at Royal FloraHolland.The program kicks off with a bootcamp training, where we focus on data processing tools, data modelling, cloud fundamentals and software engineering best practices.Covered topics: 📋 DBT 📋 Kubernetes 📋 Terraform 📋 Prometheus + Grafana 📋 KafkaHands-on projects: 🛠 RAFT consensus 🛠 Streaming framework 🛠 Dynamic pricing project

Netherlands

As a Data Engineer in the Data Science team, I play a pivotal role in the development and production deployment of machine learning applications, foster data-driven solutions that enhance company operations and performance. Collaborating closely with data scientists and engineers, I ensure the seamless integration and implementation of advanced data systems. At Royal FloraHolland, I leverage cutting-edge technologies and collaborative teamwork to drive significant advancements in our digital marketplace, positioning us as a leader in the floriculture sector's digital transformation.Key Responsibilities: ✔ ETL/ELT Pipeline Development ✔ Transformed and optimised data to meet machine learning model and business requirements, ensuring high-quality input for analytics and decision-making. ✔ Developed and maintained robust real-time data streaming applications ✔ Built scalable and high-performance APIs ✔ Implemented and managed CI/CD best practicesStack: ⚙ Python ⚙ AWS ⚙ TypeScript AWS CDK ⚙ Kafka ⚙ DataBricks ⚙ Delta Tables

St Petersburg, St Petersburg City, Russia

Project: Data platform to analyse and build reportsRole: DeveloperTeam: ~5 membersScope: ✔ Design and develop robust REST API backend in AWS ✔ Design and implement a scalable and efficient data storage ✔ Develop an efficient ETL pipeline using AWS technologies ✔ Implement a custom Lambda authorizer for authentication and authorization flow. ✔ Create detailed documentation outlining the operational procedures and design architectureStack: ⚙ Python ⚙ AWS ⚙ TerraformProject: ETL pipelines for Data HubRole: DeveloperTeam: ~10 membersScope: ✔ Development and maintenance of custom ETL framework ✔ Integration of new data sources into the existing warehouse ✔ Stable operation of existing pipelinesStack: ⚙ Python ⚙ AWS ⚙ PySpark ⚙ AWS Python CDK

St Petersburg, St Petersburg City, Russia

Project: Clinical data platformRole: developerTeam: ~8 membersScope: ✔ Develop an application for extraction, aggregation and storing the data from multiple sources following serverless design in AWS Cloud. ✔ Review and refactoring code for Airflow based solution in order to improve code quality ✔ Develop Jenkins pipelines for deployment automationStack: ⚙ Python ⚙ AWS ⚙ Airflow ⚙ Jenkins ⚙ TerraformProject: ML application for currency sentiment analysisRole: Build EngineerTeam: ~5 membersScope: ✔ Design project architecture in AWS ✔ Develop Terraform deployment ✔ Develop API with Flask frameworkStack: ⚙ Python ⚙ AWS ⚙ Terraform ⚙ Docker

St Petersburg, St Petersburg City, Russia

Data Engineering training______________________Covered topics: 📋 SQL/PostgreSQL 📋 NoSQL/MongoDB/Cassandra 📋 Big Data/Apache Hadoop/Spark 📋 Python frameworks/pandas/PySpark 📋 ElasticSearch 📋 Kafka 📋 AWS 📋 ETL pipelines/Apache AirflowPractice: 🛠 PySpark data manipulation 🛠 pandas data manipulation 🛠 ETL pipeline in Docker (Postgres as a source, ElasitcSearch as a destination, Kafka as a messaging tool), deployed with docker-compose 🛠 ETL pipeline in AWS (S3 as a source/destination, Lambda as a processing tool, RDS as a staging storage), deployed with Terraform

Master'S Degree, Institute Of Energy

Bachelor'S Degree, Institute Of Energy