{"id":19429758,"url":"https://github.com/agutiernc/data-eng-zoomcamp","last_synced_at":"2026-04-07T16:32:38.780Z","repository":{"id":219681572,"uuid":"749005321","full_name":"agutiernc/data-eng-zoomcamp","owner":"agutiernc","description":"Data Engineering Zoomcamp 2024","archived":false,"fork":false,"pushed_at":"2024-04-08T02:25:19.000Z","size":1051,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-03T13:32:40.807Z","etag":null,"topics":["apache-kafka","apache-spark","ci-cd","data-ingestion","data-warehouse","dbt","dlt","docker","etl","etl-pipeline","google-cloud-platform","jupyter-notebook","mage-ai","pandas","pipelines","postgresql","pyarrow","python","sql","terraform"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/agutiernc.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-01-27T09:57:58.000Z","updated_at":"2024-04-08T19:43:26.000Z","dependencies_parsed_at":"2024-03-11T04:32:18.930Z","dependency_job_id":"da11f936-8a36-4c35-817c-34f51bb5db83","html_url":"https://github.com/agutiernc/data-eng-zoomcamp","commit_stats":null,"previous_names":["agutiernc/data-eng-zoomcamp"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/agutiernc/data-eng-zoomcamp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agutiernc%2Fdata-eng-zoomcamp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agutiernc%2Fdata-eng-zoomcamp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agutiernc%2Fdata-eng-zoomcamp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agutiernc%2Fdata-eng-zoomcamp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/agutiernc","download_url":"https://codeload.github.com/agutiernc/data-eng-zoomcamp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agutiernc%2Fdata-eng-zoomcamp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31520543,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T16:28:08.000Z","status":"ssl_error","status_checked_at":"2026-04-07T16:28:06.951Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["apache-kafka","apache-spark","ci-cd","data-ingestion","data-warehouse","dbt","dlt","docker","etl","etl-pipeline","google-cloud-platform","jupyter-notebook","mage-ai","pandas","pipelines","postgresql","pyarrow","python","sql","terraform"],"created_at":"2024-11-10T14:21:04.716Z","updated_at":"2026-04-07T16:32:38.752Z","avatar_url":"https://github.com/agutiernc.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Engineering Zoomcamp 2024\n\nThis repository contains the projects, assignments, and code I've worked on as part of the *Data Engineering Zoomcamp* offered by **[Data Talks Club](https://github.com/DataTalksClub/data-engineering-zoomcamp)**. The ZoomCamp is a comprehensive online program designed to equip individuals with the essential skills and knowledge required for pursuing a career in Data Engineering.\n\n## Course Overview\n\nThe Data Engineering Zoomcamp covers a wide range of topics, including data modeling, data pipelines, batch and stream processing, data warehousing, and various data engineering tools and technologies. Throughout the course, I've gained hands-on experience with industry-standard tools such as Apache Spark, Apache Kafka, Docker, Mage, PostgreSQL, Redpanda, dbt cloud, dlt, and more.\n\n## Repository Structure\n\nThe repository is organized into several folders, each representing a module or topic covered in the zoomcamp:\n\n- `module 1`: Containerization and Infrastructure as Code\n- `module 2`: Workflow Orchestration with **[Mage](https://github.com/mage-ai/mage-ai)**\n- `module 3`: Data Warehouse and Big Data\n- `module 4`: Analytics Engineering with **[dbt](https://www.getdbt.com/)**\n- `module 5`: Batch Processing with Apache Spark\n- `module 6`: Streaming Data with Apache Spark, Apache Kafka, and [Redpanda](https://redpanda.com)\n- `Workshop 1`: Data Ingestion with **[dlt](https://github.com/dlt-hub/dlt)**\n- `Workshop 2`: Stream processing with **[RisingWave](https://github.com/risingwavelabs/risingwave)**\n\nEach module folder contains the corresponding assignments, code examples, and documentation related to the respective topic.\n\n## Learning Outcomes\n\nThrough this course, I have acquired a comprehensive understanding of Data Engineering principles and best practices. Some key areas of learning include:\n\n- Data modeling techniques\n- Building robust and scalable data pipelines\n- Batch and stream processing with Apache Spark and Apache Kafka\n- Data warehousing concepts and implementation with cloud-based solutions\n- Containerization and orchestration with Docker, PostgreSQL, Mage\n- Proficiency in SQL, Python, and other Data Engineering-related tools\n\nThis repository serves as a showcase of my work and demonstrates my proficiency in various Data Engineering tools and technologies.\n\n## Contact\n\nIf you have any questions or would like to discuss my work further, please feel free to reach out to me on [LinkedIn](https://www.linkedin.com/in/alfonso-gutierrez01).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagutiernc%2Fdata-eng-zoomcamp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagutiernc%2Fdata-eng-zoomcamp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagutiernc%2Fdata-eng-zoomcamp/lists"}