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Skills IA devops data engineering

Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.

Catégories: devops data engineering

481–504 sur 1,937

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GitHub

postgres-pro

vuralserhat86

PostgreSQL specialist for database administration, performance optimization, and high availability. Invoke for query tuning, replication, JSONB, extensions, maintenance. Keywords: PostgreSQL, EXPLAIN, replicati...

GitHub

drizzle-orm

vuralserhat86

Type-safe ORM for Cloudflare D1 databases using Drizzle. Provides patterns for schema definition, migrations, and type-safe queries. Prevents transaction errors and schema mismatches. Includes templates for str...

GitHub

data-transform

vuralserhat86

Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migra...

GitHub

prisma-orm

vuralserhat86

Prisma ORM patterns including Prisma Client usage, queries, mutations, relations, transactions, and schema management. Use when working with Prisma database operations or schema definitions.

GitHub

database-migration

vuralserhat86

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations...

GitHub

bigquery

lanej

Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/expor...

GitHub

sql-expert

lemline

SQL query optimization, indexing strategies, and EXPLAIN analysis for Lemline's multi-database architecture (PostgreSQL, MySQL, H2). Use when debugging slow queries, designing indexes, optimizing outbox patter...

GitHub

quality-metrics

proffesor-for-testing

Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness.

GitHub

test-data-management

proffesor-for-testing

Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.

GitHub

etl-patterns

ilyasibrahim

ETL workflow patterns, data pipeline architecture, and ingestion strategies for Somali dialect classifier. Covers source integration, transformation logic, staging patterns, and load strategies. Auto-invokes wh...

GitHub

design

ilyasibrahim

Unified design system for data/ML dashboards. Quick reference for brand vs data color decisions, component patterns, typography, spacing. Auto-invokes on styling, CSS, design, colors, UI, visualization keywords...

GitHub

data-engineer

zenobi-us

Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-o...

GitHub

database-optimizer

zenobi-us

Expert database optimizer specializing in query optimization, performance tuning, and scalability across multiple database systems. Masters execution plan analysis, index strategies, and system-level optimizati...

GitHub

database-management

lovedragonball

Database schema design, migrations, query optimization, and ORM best practices. Use for database setup, performance tuning, and data modeling.

GitHub

data-analysis

lovedragonball

Data processing, analysis, and visualization with Python/JavaScript. Use for data exploration, pandas operations, chart generation, and insights extraction.

GitHub

sql

maragudk

Guide for working with SQL queries, in particular for SQLite. Use this skill when writing SQL queries, analyzing database schemas, designing migrations, or working with SQLite-related code.

GitHub

data-sql-optimization

vasilyu1983

Production-grade SQL optimization for OLTP systems: EXPLAIN/plan analysis, balanced indexing, schema and query design, migrations, backup/recovery, HA, security, and safe performance tuning across PostgreSQL, M...

GitHub

ai-ml-data-science

vasilyu1983

End-to-end data science patterns (modern best practices): problem framing -> data -> EDA -> feature engineering (with feature stores) -> modelling -> evaluation -> reporting, plus SQL transformation (SQLMesh)....

GitHub

data-analytics-engineering

vasilyu1983

Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation...

GitHub

data-lake-platform

vasilyu1983

Universal data lake and lakehouse patterns covering ingestion (dlt, Airbyte), transformation (SQLMesh, dbt), storage formats (Iceberg, Delta, Hudi, Parquet), query engines (ClickHouse, DuckDB, Doris, StarRocks)...

GitHub

migration-patterns

bybren-llc

Database migration creation with mandatory RLS policies and ARCHitect approval workflow. Use when creating migrations, adding tables with RLS, or updating Prisma schema.

GitHub

migration-patterns

bybren-llc

Database migration creation with mandatory RLS policies and ARCHitect approval workflow. Use when creating migrations, adding tables with RLS, or updating Prisma schema.

GitHub

kql-query-authoring

SCStelz

Use this skill when asked to write, create, or help with KQL (Kusto Query Language) queries for Microsoft Sentinel, Defender XDR, or Azure Data Explorer. Triggers on keywords like "write KQL", "create KQL query...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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