Anton Wolkov
Verified Expert in Engineering
Big Data Architect and ML Developer Developer
Anton specializes in big data infrastructure architecture and machine learning operations (MLOps). He worked with many high-profile Fortune 500s and startups. He holds a bachelor's degree in computer science, with experience in big data infrastructure development and DevOps. He can get you started with data lakes, onboard data scientists, automation, and create production-grade self-service batch pipelines. Anton prefers using Airflow, Presto, TensorFlow, Kubernetes, and Grafana.
Portfolio
Experience
Availability
Preferred Environment
Ubuntu, Amazon Web Services (AWS), Google Cloud Platform (GCP), MacOS, Databricks, Jupyter Notebook, Zeppelin, IntelliJ IDEA, GitHub
The most amazing...
...thing I've created is a data pipeline infrastructure for six teams worldwide, generating a graph of all internet browsers and mobile phones.
Work Experience
DevOps Expert
Neobrain
- Engaged as a DevOps expert for an AI SaaS in development.
- Created Terraform and Helm infrastructures for a new production Kubernetes cluster in Azure.
- Provisioned and configured TPU machines for a one-off training session.
- Installed and configured a Prefect data pipeline with a CI/CD in GitLab and monitored in Prometheus with Grafana.
Lead MLOps,| DevOps | Software Engineer
Proofpoint
- Integrated multiple teams' data into a natural language processing (NLP) oriented batch data pipeline.
- Used ETL for data exploration and integration tests on anonymized data.
- Designed microservices architecture using Python, Docker, Helm, and AWS Service Operator.
- Built a Jenkins-based CI/CD pipeline Kubernetes deployment for the front and back ends.
- Merged Prometheus and Grafana dashboards from multiple Amazon EKS clusters using Thanos.
- Automated PagerDuty incident management with playbooks and CI/CD pipeline deployments.
Principal Software Engineer
Oracle
- Created a self-service process for data scientists to productize their data proof of concepts (POCs).
- Integrated metrics collection and reporting into all parts of the pipeline and GitHub pull requests.
- Migrated AWS EMR workloads using Spark and Kubernetes running on OCI infrastructure.
- Developed lightweight microservices to handle real-time pixel requests with strict service level agreements (SLAs).
- Extended the Python and Amazon S3 (AWS S3) library to support Oracle Cloud. Optimized for high-latency operations.
Software Engineer II
Amazon.com
- Onboarded a new real-time database to sync annotators' inputs. Used JavaScript, ETL, report generator, and data exploration tools for AI experiments and proof of concepts (POCs).
- Repurposed an internal voice annotation platform to be used for computer vision.
- Automated status reporting from an experiment management platform to Confluence.
- Created a Jira ticket templating system to simplify operational process status tracking.
Software Engineer II
Microsoft
- Integrated users and file APIs from Microsoft Office 365, Google, ServiceNow, Salesforce, and Okta. Used custom asynchronous distributed rate limiter logic.
- Created a data playground and scale test with automated CI/CD pipelines for data science proof of concepts (POCs). Utilized a huge anonymized production data sample.
- Integrated data pipelines to Splunk monitoring. Continued with later iterations of Apache Flink, which were integrated into Prometheus and Grafana.
- Optimized MongoDB and Elasticsearch-based pipelines to scale for all of Microsoft's customers' data from Outlook and SharePoint.
Experience
Android Automation App
Hackathon Project
Skills
Languages
Python, Go, Java, Bash, Snowflake, SQL, HTML, JavaScript, GraphQL, TypeScript, C, Scala, R
Frameworks
Presto, Apache Spark, Swagger, Spark, Django, Hadoop
Libraries/APIs
Luigi, Spark ML, Pandas, TensorFlow, Jenkins Pipeline, REST APIs, React, PySpark, PyTorch, Node.js
Tools
Jenkins, Apache Airflow, Spark SQL, Grafana, Amazon OpenSearch, Jira, Kibana, Amazon Elastic MapReduce (EMR), Vault, Qubole, Amazon Athena, Terraform, Tableau, Superset, IntelliJ IDEA, CircleCI, AWS ELB, AWS IAM, Chef, RabbitMQ, Ansible, Amazon EKS, Amazon CloudFront CDN, AWS CloudFormation, Amazon CloudWatch, Helm, ELK (Elastic Stack), GitHub, Artifactory, Confluence, Amazon Elastic Container Service (Amazon ECS), Docker Hub, AWS CLI, Amazon Virtual Private Cloud (VPC), Amazon Elastic Container Registry (ECR), Nagios, Git, Postman, Amazon SageMaker, Azure Kubernetes Service (AKS), Sentry, SonarQube, Gradle, Microsoft Power BI, Google Kubernetes Engine (GKE), Azure Machine Learning, Bitbucket, Splunk, Apache Ignite, AWS Glue, Flink, BigQuery, JW Player
Paradigms
DevOps, ETL, Anomaly Detection, Continuous Integration (CI), Microservices, Automated Testing, Data Science, DevSecOps, Microservices Architecture, Continuous Delivery (CD)
Platforms
Google Cloud Platform (GCP), Jupyter Notebook, Zeppelin, Docker, Kubernetes, Azure, Apache Kafka, Amazon Web Services (AWS), Linux, Ubuntu, Azure IaaS, Oracle Cloud Infrastructure (OCI), Amazon EC2, AWS Lambda, Harbor, Apache Flink, Android, Apache Pig
Storage
Elasticsearch, MongoDB, Redis, Amazon S3 (AWS S3), PostgreSQL, RethinkDB, Apache Hive, Auto-scaling Cloud Infrastructure, Oracle Cloud, Data Lakes, Data Pipelines, Amazon DynamoDB, Azure Blobs, NoSQL, Relational Databases, MySQL, Google Cloud, Data Integration, Database Security, Company Databases, Redshift, Amazon Aurora, Aerospike, ScyllaDB, OVH
Other
Machine Learning Operations (MLOps), Prometheus, MLflow, Cloudflare, Cloud Infrastructure, Cloud Security, AWS Auto Scaling, Back-end, System Architecture, Scalability, Data Analytics, ETL Tools, ETL Testing, Apache Superset, Content Delivery Networks (CDN), Natural Language Processing (NLP), Amazon RDS, AWS Cloud Architecture, CI/CD Pipelines, Big Data Architecture, Data Protection, Cost Reduction & Optimization, AWS DevOps, DNS, API Gateways, Serverless, Identity & Access Management (IAM), Data Engineering, Artificial Intelligence (AI), Machine Learning, Big Data, Shell Scripting, HAProxy, Architecture, Cloud Architecture, Migration, Cloud Migration, Kubernetes Operations (kOps), Data Visualization, Statistical Analysis, Cloud, Data Modeling, Algorithms, Mathematics, Data, Mathematical Analysis, Data Analysis, Generative Adversarial Networks (GANs), Image Processing, Generative Design, 3D Modeling, Data Reporting, API Integration, Ads, Performance Optimization, Cost Management, DevOps Engineer, Personally Identifiable Information (PII), Infrastructure as Code (IaC), Site Reliability Engineering (SRE), Infrastructure, Argo CD, APIs, Proxies, Developer Portals, GPU Computing, NVIDIA TensorRT, Containers, Argo Workflow, IT Support, Software Architecture, OpenAI GPT-4 API, Data Migration, EMR, Large Language Models (LLMs), FastAPI, GitHub Actions, Apache Cassandra, Computer Vision, Computer Vision Algorithms, Prefect, GPT, Generative Pre-trained Transformers (GPT), Dagster, Google BigQuery, Artificial Intelligence as a Service (AIaaS), TPU, Data Build Tool (dbt)
Education
Bachelor's Degree in Computer Science
Technion – Israel Institute of Technology - Haifa, Israel
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring