cicd-pipelines
GitHub Actions, GitLab CI, Jenkins, and automated deployment pipelines
cloud-platforms
AWS, GCP, Azure data platforms, infrastructure as code, and cloud-native data solutions
containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
deep-learning
PyTorch, TensorFlow, neural networks, CNNs, transformers, and deep learning for production
etl-tools
Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines
git-version-control
Git workflows, branching strategies, collaboration, and code management
shell-tools
Production-grade shell tools - jq, xargs, parallel, pipelines
iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
mlops
MLflow, model versioning, experiment tracking, model registry, and production ML systems
monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
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