Freelancers using Apache Airflow
Freelancers using Apache Airflow
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El Mehdi El Wafi
pro
Morocco
Linux VPS SysAdmin AWS & Oracle Cloud Architect | Terraform
$5k+
Earned
1x
Hired
8
Followers
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Linux VPS SysAdmin AWS & Oracle Cloud Architect | Terraform
$5K+ earned
3
DevOps/Cloud & DataOps maintainer
3
16
1
92% Cost OFF of EC2 Airflow/DBT Workers using Lambda
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🛠️ 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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3
403
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Enterprise VM Template for Proxmox VPS
0
3
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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2
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BeejanTech Analytics Platform Development
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1
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Offensive Card Booking Tracker for Football Club
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1
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AWS Infrastructure Provisioning with Terraform
0
0
Apache Airflow
(3)
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Cesar Ramos
Omaha, USA
Data expert turning chaos into insights
New to Contra
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Data expert turning chaos into insights
14
One of the most common problems I see as companies grow isn’t a lack of data — it’s too many disconnected reports. In this project, leadership relied on spreadsheets and ad hoc reports. Numbers didn’t always line up, and answering basic questions took too long. What I did: Centralized reporting in Power BI Defined clear, decision-driven KPIs Modeled data so metrics reconciled across teams Designed dashboards focused on clarity The result: Leadership gained a trusted, real-time view of performance they could rely on week after week.
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Financial dashboards shouldn’t just show trends — they should explain what’s driving profitability. In this project, I built a Tableau dashboard that connects weekly sales, costs, profit, and ROI in a single view, allowing leaders to see where and when returns were actually being generated. What I focused on: Aligning sales, cost, and profit to the same time grain Making ROI visible alongside volume, not buried in spreadsheets Enabling quick comparisons across venues, vendors, and performers The result: Teams could identify high-ROI weeks and segments and make informed decisions about pricing, spend, and future bookings.
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From Disorganized Reporting to Executive Power BI Dashboards
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Adding a new company into an existing reporting suite this week as our client continues to grow. The work isn’t just wiring in new data — it’s making sure metrics stay consistent, historical trends remain intact, and leadership can still compare performance across the business without friction. Growth is exciting, but it definitely stress-tests your analytics.
0
27
Apache Airflow
(1)
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ANIMESH SINGH
Delhi, India
Data & AI Engineer
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Data & AI Engineer
2
Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals. Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.
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Problem Statement Urban traffic management systems lack real-time, integrated data combining traffic conditions with weather patterns. This results in poor routing decisions, delayed emergency responses, and inefficient traffic flow management. Solution Developed a comprehensive real-time ETL pipeline that integrates traffic APIs and weather data sources, processes millions of data points, and delivers actionable insights through interactive dashboards for traffic management and route optimization.
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A fully Dockerized real-time IoT ETL pipeline that simulates device telemetry, processes events through MQTT and Kafka, orchestrates workflows with Airflow, and delivers real-time alerts and insights to CRM systems with monitoring via Grafana and Loki.
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A fully local RAG pipeline that transforms your PDFs into a queryable knowledge base using FAISS vector search and Ollama LLMs. No cloud, no API keys - just private, grounded document intelligence running entirely on your machine.
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23
Apache Airflow
(3)
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Aishwary Dhare
pro
Bengaluru, India
Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
5.0
Rating
6
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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1
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Global FinTech Development for MishiPay
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2
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Development of PayLater & PayLater Business Apps
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Development and Launch of MishiPay Self-checkout Kiosks
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1
Apache Airflow
(1)
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Umar Shaikh
Pune, India
Data Scientist, Backend Engineer, Data Analyst
9
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Data Scientist, Backend Engineer, Data Analyst
1
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
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12
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main_palmer_penguin_EDA_2024-project
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7
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Fraud_Transaction_Detection-Fraud_Finder_ID12254…
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10
Apache Airflow
(1)
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