Metabase gcp11/24/2023 ![]() ![]() Technologies: Data Engineering, Python, Google Data Studio, PostgreSQL, Google BigQuery, Dataproc, Google Cloud Dataproc, Looker, Apache Airflow, Redis, Spark, PySpark, Web Scraping, Scraping, Data Wrangling, Data Modeling, Excel 365, Dashboards, Amazon Elastic MapReduce (EMR), Amazon EKS, Data Manipulation, Shell Scripting, MapReduce, Business Intelligence (BI), Business Analysis, Benchmarking, Databases, Performance, Performance Testing, Caching, Stress Testing, Data Reporting, Pandas, Asyncio, Software Architecture, Swagger, DevOps, Artificial Intelligence (AI), Python API, Data Scraping, REST, HTML, CSS, OpenAI GPT-3 API, REST APIs, Scalability, Algorithms, Data Structures, Software Development, Optimization, Cloud, Excel Macros, Database Modeling, Data-driven Design, SaaS, NumPy, API Integration, Natural Language Processing (NLP), Serverless, SharePoint, Amazon ElastiCache, AWS Simple Notification Service (SNS), Python 3, Git, Lint, OpenAPI, Jupyter, Jupyter Notebook, Design Patterns, Kubernetes, Pytest, FastAPI, eCommerce APIs, Extensions, Scrapy, Data, Apache Spark, Streaming Data, Data Governance, Data Integration, Cloud Dataflow, Apache Beam, Orchestration, GPT, LangChain, Solution Architecture, SharePoint Online, Technical Architecture, Monitoring, Data Auditing, Agile, T-SQL (Transact-SQL), Business Architecture, Enterprise Architecture, Interactive Brokers API, Multithreading, Entity Relationships, Stored Procedure, Software Design, Workflow, Microservices, Microservices Architecture, Go, API Design, AWS Cloud Architecture, MongoDB Atlas, Performance Tuning, Dynamic SQL, Database Design, Amazon API Gateway, Amazon Simple Queue Service (SQS)
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |