Freelancers using Kafka
Freelancers using Kafka
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Drivyesh Modi
India
Growth is the only constant to achieve Perfection
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Growth is the only constant to achieve Perfection
0
Technical Mock interviews and coaching for big firms
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18
0
Java Project and Bug Fixing
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17
0
Java Application Project
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20
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Kafka
(3)
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Sreeram Melarkode
Thane West, India
Wordsmith for hire: Writing, research, consulting
5.0
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2
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Wordsmith for hire: Writing, research, consulting
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Near Real Time Data WareHouse
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12
1
Solution Consulting
1
12
0
Mobile Device Policy
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17
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Kafka
(1)
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Aishwary Dhare
pro
Bengaluru, India
Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
5.0
Rating
5
Followers
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Full Stack Rapid Prototyping – Vision to Product in Weeks 🚀
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Global FinTech Development for MishiPay
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2
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High-Performance Cryptocurrency Trading Engine Development
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2
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Migration of ETL Pipelines to Apache Airflow
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2
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Development of PayLater & PayLater Business Apps
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3
Kafka
(2)
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ANIMESH SINGH
Delhi, India
Data & AI Engineer
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Data & AI Engineer
3
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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3
126
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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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26
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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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32
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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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49
Kafka
(2)
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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
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Real-Time Analytics: 48hr Latency to 90 Seconds
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Reverse ETL: Warehouse Data Back to Sales Tools
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0
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Data Quality Framework: 62% to 99% Accuracy
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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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33
Kafka
(1)
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Ahmad Kamiludin
Surabaya, Indonesia
Data Engineer | Python Developer | Cloud Data Architect
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Data Engineer | Python Developer | Cloud Data Architect
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Real-Time Data Pipeline Using Apache Kafka, Flink, and MongoDB
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36
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Real-Time Music Data Pipeline Using Apache Kafka
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17
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Data-Driven Using Airflow, Dbt Cloud, and AWS Tech Stack
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23
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Scalable Data Pipeline with MySQL, Google Cloud, & Looker Studio
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8
Kafka
(2)
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CS48 Sagar gaud
Agra, India
AI Engineer | 7 mo exp in ML, LLMs, debugging, US clients.
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AI Engineer | 7 mo exp in ML, LLMs, debugging, US clients.
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Lillypad Coding Project Completion
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5
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Trending Technologies & The Vision of CodingWorkX
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5
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User Engagement for Eatsure’s Food Delivery App
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1
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Kafka
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Peter Mwenda
Nairobi, Kenya
Senior Backend Engineer | Real-Time & High-Throughput System
New to Contra
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Senior Backend Engineer | Real-Time & High-Throughput System
0
Building backend systems that don’t break under pressure. From real-time WebSocket streaming to high-throughput payment processing, I design systems that handle scale, reliability, and performance. Recently worked on: • Real-time data streaming systems • Event-driven architectures (Kafka, RabbitMQ) • Banking integrations & high-volume transaction processing I focus on low latency, resilience, and systems that scale under load. If you're building systems that need to perform reliably at scale, let’s connect.
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36
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Real-Time Event-Driven Integration for Data Feed Processing.
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21
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Real-Time WebSocket Streaming & Dynamic Subscription System.
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29
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ECRM 360, Unified Customer View via Real-Time Banking Integration.
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28
Kafka
(2)
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