Projects with this topic
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AI and data engineering portfolio ? explainable products, vector search, analytics and production-minded delivery.
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Курс по дата-инженерии (магистратура ВШЭ × Нетология). Русскоязычный аналог DE Zoomcamp под Yandex Cloud.
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Fundamental theory and practice in Data Science (DS).
🧮 data analysis AI ML DL machine lear... deep learning data science data-enginee... artificial i... data-science data preproc... Python C C++ NumPy pandas mathematics Algorithm algorithms Data Enginee... big data scipy scikit-learn xgboost lightgbm catboost TensorFlow keras PyTorch matplotlib seaborn plotly nltk opencv dask linear-algebra calculus probability statistics Discrete Mat... RUpdated -
Automated Urban Heat Island (UHI) data pipeline using ERA5 climate data and OpenStreetMap, orchestrated with Apache Airflow, processed with GeoPandas/xarray, stored in PostGIS, and visualized with Folium.
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Real-time stock market data lakehouse using Kafka, Bronze/Silver/Gold architecture, and Postgres feature serving.
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End-to-end IoT data platform on Kubernetes (kind) using FastAPI, MongoDB, and a background processor with a telemetry simulator. Includes Terraform IaC example.
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End-to-end AWS data lake pipeline for fleet telemetry data using S3, Spark, and Athena. Includes partitioned Parquet ETL, vehicle safety analytics, and SQL queries for overspeed and harsh braking detection.
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Real-time connected vehicle telemetry pipeline using Kafka, MongoDB, FastAPI, and Grafana with anomaly detection and fleet monitoring dashboards.
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Distributed geospatial data pipeline using Apache Spark and Apache Sedona to analyze NYC taxi demand hotspots from millions of trip records.
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Multi-source geospatial ETL pipeline integrating bike lanes, traffic sensors, and GTFS data to analyze urban mobility infrastructure coverage in Berlin.
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Solución end-to-end para la migración y análisis de datos utilizando Python, FastAPI, Kafka y PostgreSQL. Implementa un pipeline de datos asíncrono y una API RESTful para analíticas, todo completamente containerizado con Docker Compose para un despliegue fácil y reproducible.
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End-to-end design of a Hadoop-based ecosystem for healthcare data at scale (50 TB, IoT streams, medical imaging). Proposed a 10-node cluster architecture integrating HDFS, Spark, Hive, NiFi, Kafka, and Docker with HIPAA-compliant security (Kerberos, TLS, Apache Ranger). Delivered a proof-of-concept Docker deployment and professional proposal document.
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A collection of Airflow operators, hooks, and utilities to elevate dbt to a first-class citizen of Airflow.
See the documentation at: https://airflow-dbt-python.readthedocs.io/
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