Seasoned Data Engineer with a proven track record of building and optimizing highly scalable and cost-effective data pipelines using cutting-edge technologies like Spark, AWS EMR, and Databricks. Possesses in-depth knowledge of big data architectures, machine learning algorithms, and NLP techniques, leveraging them to deliver actionable insights and drive tangible business results. Skilled at refactoring and optimizing pipelines for performance and efficiency, with a strong track record of managing and processing petabytes of data across diverse industries.

I specialize in modern and widely-used technologies, such as:

✔ Front-end Related Technologies: JS ES6+, TS, HTML 5, CSS 3, SVG, Vite, Babel, Eslint, ReactJs;
✔ Back-end: Node with JS & TS, Django, Laravel, Flask;
✔ Big Data Processing: Apache Spark, Apache Kafka, Apache NiFi, ELK Stack;
✔ Reporting & Analytics: Power BI, Kibana, Pandas, Seaborn, Bokeh, Plotly, Superset;
✔ Data Science: H2O AutoML, NLTK, Spacy, Hugging Face, BiTerm, Scikit Learn, NetworkX;
✔ Back-end Technologies: REST APIs, Webhooks, Message Queues, GraphQL, gRPC;
✔ Version control: Git and GitHub;
✔ Databases: Snowflake, Clickhouse, MongoDB, PostgreSQL, Supabase, Firebase, Elasticsearch, Redis;
✔ CI/CD: GitHub Actions, Jenkins, Gitlab CI/CD;
✔ Realtime Systems: WebRTC, Websockets, Kafka, Pub/Sub;
✔ Monitoring and Logging: Prometheus, Datadog;
✔ Testing: Pytest, Selenium;