# Vladislav Shapovalov

Vladislav Shapovalov is a remote worker on Himalayas, Senior Data Engineer at BP (British Petroleum), based in Thailand.

Source: https://himalayas.app/@vladislavshapovalov1

```text
Senior Data Engineer at bp building AWS data pipelines; cut Glue job runtime from 9 hours to 2 per region.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Thailand |
| Authorized to work in | Thailand |
| Salary expectations | 60k+ USD |
| Job categories | Data Engineer, DevOps Engineer, MLOps Engineer, Machine Learning Engineer |
| Skills | Data Engineering, Data Pipelines, ETL ELT, Distributed Data Processing, Batch Processing, Real time processing, Data Warehouse, Cloud Infrastructure, Machine Learning, MLOps, NLP, System Design, Database Design, Python, SQL |
| LinkedIn | https://linkedin.com/in/nobodyone |

## About

```text
At bp, I maintain AWS data pipelines and optimized production Glue jobs, reducing workers from 12 to 4 and runtime from 9 hours to 2 per region. I also redesigned sequential pipeline execution to run in parallel and contribute to migrating legacy pipelines to Databricks.

At Positive Technologies, I built Spark Structured Streaming pipelines for real-time vulnerability detection and helped identify vulnerabilities before vendor advisories were published. Across my work, I’ve also completed a legacy SSIS-to-Airflow migration and developed data and ML workflows for products including a credit decision system and an Amazon price prediction project.
```

## Experience

### Senior Data Engineer (current)

[BP (British Petroleum)](https://himalayas.app/companies/2289-bp-sg-pte-ltd-shipping). Jan 2026 - Present

```text
Maintain and improve large-scale AWS data pipelines built on AWS Glue, Lambda, and Step Functions. Optimized production Glue jobs, cutting workers from 12 to 4 and reducing runtime from 9 to 2 hours per region.
```

Skills: AWS-Glue, Lambda, Step-Functions, Redshift, Python, SQL, Databricks, Azure-DevOps, CI-CD

### Data Engineer / DevOps / MLOps Engineer (current)

HyperC. Aug 2022 - Present

```text
Designed and implemented end-to-end cloud infrastructure and data workflows for two machine learning products, owning infrastructure architecture, database design, model deployment, and pipeline development.
```

Skills: Python, PySpark, Dask, Prefect, AWS, MLFlow, Docker, Linux, GitHub, CI-CD

### Senior Data Engineer

[Caterpillar Inc.](https://himalayas.app/companies/caterpillar-inc). Sep 2023 - Jan 2026

```text
Developed and maintained data pipelines on Caterpillar's in-house pipeline framework, running on AWS Glue, Lambda, Fargate, and Kinesis. Partnered with DataOps on production support and built SageMaker notebooks for ad hoc processing.
```

Skills: AWS-Glue, Lambda, Fargate, Kinesis, RDS, DynamoDB, S3, Sagemaker, Azure-DevOps

### Senior Data Engineer

[DataArt](https://himalayas.app/companies/dataart). Aug 2022 - Sep 2023

```text
Built a data warehouse for billing and CRM reporting, designing architecture from technical specifications. Led the full migration of a legacy SSIS package to Apache Airflow, breaking it into modular DAGs.
```

Skills: Microsoft-SQL-Server, SSIS, Airflow, ETL, SQL, Data-Warehouse

### Senior Data Engineer / DevOps

Positive Technologies. Sep 2020 - Aug 2022

```text
Built a real-time vulnerability intelligence platform processing streaming data from multiple sources. Developed Spark Structured Streaming pipelines on Kafka and integrated ML models into real-time detection.
```

Skills: Apache-Spark, Kafka, Airflow, Kubernetes, MLFlow, S3, PySpark, fastAPI, Elasticsearch, PostgreSQL, CouchDB, Docker, Ansible, VSphere

### Machine Learning Engineer

UserStory. Sep 2019 - Aug 2020

```text
Designed and implemented chatbot components for named entity recognition, intent detection, and text generation. Developed NLP and ML workflows with TensorFlow, DeepPavlov, and Scikit-learn.
```

Skills: TensorFlow, DeepPavlov, scikit-learn, PySpark, fastAPI, NLP, ETL

## Education

### Tomsk State University

Master's Degree, Big Data. 2021 - 2023

```text
Pursued a Master's degree in Big Data at Tomsk State University from 2021 to 2023.
```

### Tomsk State University

Bachelor's Degree, Applied Mathematics and Computer Science. 2017 - 2021

```text
Earned a Bachelor's degree in Applied Mathematics and Computer Science from Tomsk State University from 2017 to 2021.
```

## Tech stack

- Amazon API Gateway
- Amazon Redshift
- Snowflake
- Apache Spark
- AWS Glue
- Amazon S3
- AWS Step Functions
- GitHub
- GitLab
- Kubernetes
- AWS Fargate
- PySpark
- Dask
- MySQL
- PostgreSQL
- MongoDB
- Microsoft SQL Server
- Hadoop
- CouchDB
- HBase
- Databricks
- Redis
- Terraform
- Azure DevOps
- Python
- Scala
- TensorFlow
- MLflow
- scikit-learn
- Keras
- Kafka
- RabbitMQ
- FastAPI
- Amazon DynamoDB
- Linux
- jFrog
- Elasticsearch
- Ansible
- AWS Lambda
- Shell
- Amazon RDS
- Git
- Docker
- VMware vSphere
- SQL
- Amazon SageMaker
- Prefect
- TeamCity
- MinIO

To contact Vladislav, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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