Freelancers using Apache Airflow in Nuremberg
Freelancers using Apache Airflow in Nuremberg
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El Mehdi El Wafi
pro
Morocco
Linux VPS SysAdmin AWS & Oracle Cloud Architect | Terraform
$10k+
Earned
1x
Hired
11
Followers
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Linux VPS SysAdmin AWS & Oracle Cloud Architect | Terraform
1
92% Cost OFF of EC2 Airflow/DBT Workers using Lambda
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14
$10K+ earned
3
DevOps/Cloud & DataOps maintainer
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32
3
🛠️ DevOps Tips 🛠️ If your GitHub workflows or jobs are failing due to jobs concurrently accessing and/or modifying shared resources, You can control execution at the workflow or job levels using the concurrency. Jobs/Workflows in the same are prohibited from running at the same time, and you can cancel any jobs/workflow if you trigger another one. Groups let you define compartments in which you don't want concurrent workflows running. They can be organized however you like. I find that using them in separate environments is a great practice. Cancel-in-progress: specifies if the old running job/workflow needs to shut down. Read more in docs: https://docs.github.com/en/actions/how-tos/write-workflows/choose-when-workflows-run/control-workflow-concurrency
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563
0
Enterprise VM Template for Proxmox VPS
0
10
Apache Airflow
(2)
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ADEWUNMI OLUWASEYI
Lagos, Nigeria
Expert in building an efficient and scalable data pipeline
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Expert in building an efficient and scalable data pipeline
0
Scalable E-commerce Big Data Platform for BuildItAll
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4
0
BeejanTech Analytics Platform Development
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4
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Offensive Card Booking Tracker for Football Club
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4
0
AWS Infrastructure Provisioning with Terraform
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3
Apache Airflow
(3)
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Abhishek Jha
United Arab Emirates
Analytics Engineer | Snowflake, Airflow, dbt
New to Contra
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Analytics Engineer | Snowflake, Airflow, dbt
0
Reverse ETL: Warehouse Data Back to Sales Tools
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4
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Data Quality Framework: 62% to 99% Accuracy
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2
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Real-Time Analytics: 48hr Latency to 90 Seconds
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7
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I Build Production-Grade Data Pipelines (ETL, Medallion, Snowflake, dbt) Messy data → clean, trusted analytics in ~2 weeks.
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54
Apache Airflow
(8)
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Aishwary Dhare
pro
Bengaluru, India
Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
5.0
Rating
7
Followers
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Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
0
Migration of ETL Pipelines to Apache Airflow
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11
0
Global FinTech Development for MishiPay
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6
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Development of PayLater & PayLater Business Apps
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14
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Development and Launch of MishiPay Self-checkout Kiosks
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8
Apache Airflow
(1)
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Muhammad Arsalan
Karachi, Pakistan
Data Engineer | Web Scraping | SQL | BI Dashboards
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Data Engineer | Web Scraping | SQL | BI Dashboards
0
Problem: Financial data from stocks and crypto APIs was scattered, refreshed manually, and not ready for analytics or ML use. Solution: Built an Apache Airflow pipeline to collect, transform, validate, and load real-time financial data from multiple APIs into PostgreSQL, MongoDB, AWS RDS, and Qdrant. Tools: Apache Airflow, Python, PostgreSQL, MongoDB, AWS RDS, Qdrant, APIs Result: Automated sub-hourly data refresh, processed thousands of records daily, and delivered clean data for dashboards, analytics, and vector search.
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Problem: Batch data processing was not suitable for real-time analytics and scalable cloud-based data ingestion. Solution: Created a real-time streaming pipeline using Kafka on AWS EC2, stored processed data in S3, cataloged it with AWS Glue, and queried it with Amazon Athena. Tools: Python, Apache Kafka, AWS EC2, Amazon S3, AWS Glue, Amazon Athena, Pandas Result: Built an end-to-end cloud data streaming workflow that supports real-time ingestion, storage, cataloging, and SQL-based analytics.
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Problem: Finance data was difficult to analyze across sales, profit, orders, discounts, countries, and customer segments. Solution: Created an interactive Power BI dashboard with KPI cards, sales trends, profit analysis, country performance, and segment-level insights. Tools: Power BI, Power Query, DAX, Excel, Data Modeling Result: Delivered a clear executive dashboard for tracking financial performance, identifying trends, and making faster business decisions.
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Problem: Users needed a faster way to find the most relevant counselor based on specialization and available data. Solution: Built a recommendation workflow using PySpark for data processing and Redis for fast lookup and recommendation serving. Tools: Python, PySpark, Redis, Docker, Docker Compose Result: Created a containerized recommendation system that processes counselor data and returns relevant matches efficiently.
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70
Apache Airflow
(1)
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John Dzilvelis
pro
Colorado, USA
Database Architect & Engineer
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Database Architect & Engineer
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Data Lake Development Project
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6
0
MySQL Database Repair and Recovery
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6
0
Supabase Test Project Refresh
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54
0
ETL Pipeline - AWS Aurora to Snowflake
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69
Apache Airflow
(1)
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Umar Shaikh
Pune, India
Data Scientist, Backend Engineer, Data Analyst
10
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Data Scientist, Backend Engineer, Data Analyst
2
Proud to share that I’ve earned the Oracle Cloud Infrastructure (OCI) 2025 Certified Data Science Professional certification (https://tinyurl.com/dsmlaidl) — issued by Oracle. This certification validates my expertise in Machine Learning (ML) | Data Science | Artificial Intelligence (AI) | Cloud Computing, showcasing my ability to design, build, deploy, and manage end-to-end ML solutions using OCI Data Science and Oracle AI Services. 💡 Core Expertise: 🔹 Scalable ML pipelines on OCI Data Science 🔹 AI, MLOps, and Cloud best practices for model optimization 🔹 Leveraging OCI Data Flow, Data Catalog, and AI Services for automation 🔹 Skilled in Python | TensorFlow | Scikit-learn | OCI SDKs for production-grade workflows 💪 Passionate about applying ML | Data Science | AI | Cloud Innovation to drive real business transformation.
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main_palmer_penguin_EDA_2024-project
1
16
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main_palmer_penguin_EDA_2024-project
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10
1
Fraud_Transaction_Detection-Fraud_Finder_ID12254…
1
16
Apache Airflow
(1)
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Mo Rahman
New York, USA
A/B Testing Statistician for SaaS & E-commerce Teams
New to Contra
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A/B Testing Statistician for SaaS & E-commerce Teams
0
E-Commerce Data Platform Rebuild
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2
0
CVR Rose 8%, but Profit per Visitor Fell 6%
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0
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Five Arms, One Nominal Winner, Zero Valid Launches
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2
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Daily Peeking Turned Noise Into a 19.7% False-Win Rate
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2
Apache Airflow
(1)
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