Hadoop Jobs

I need a Python-based, fully documented solution that runs completely on my machine: an MCP server that talks to a FHIR R4 endpoint (the FHIR server itself may be remote), an agent using Ollama, plus a small React chatbot UI that demonstrates three key features: • Retrieve patient data – specifically medical history, current medications, lab results, medical images and radiology findings. • Display and download any related attachments. • Perform free-text searches inside those attachments. The server component should expose these capabilities through clean REST endpoints and log each FHIR call for traceability. Please follow FHIR best practices (paging, terminology handling, proper resource references) and keep the codebase test-driven. I am comfortable with Fast...

Project Overview: We are looking for an experienced Machine Learning Engineer specialized in audio processing and deep learning. The goal is to design, train, and deploy a high-performance AMD (Answering Machine Detection) model for telephony, using an existing dataset of approximately 67,000 labeled audio samples. The model must operate in real-time with low latency, and integrate into our existing calling infrastructure (Drachtio / Asterisk / FreeSWITCH / Vicidial). Mission Responsibilities: Analyze and preprocess the existing dataset (cleaning, balancing, train/val/test split) Extract audio features such as Mel-spectrograms, MFCC, STFT, normalization Design and train a CNN/CRNN model for AMD classification (Human / Voicemail / Silence / Fax / Other if needed) Optimize the model for...

I have an existing SAS program that handles end-to-end data processing for a single SQL Database source. The code cleans raw tables, applies a series of transformations, then produces several aggregated outputs that feed downstream reports. I now need the entire workflow re-implemented in PySpark running on Azure Databricks so I can retire the SAS environment and take advantage of Databricks’ scalability. You will receive: • The original .sas files with inline comments that explain each step • A data-dictionary of the SQL tables involved • Sample input/output datasets to verify parity What I’m expecting from you: 1. A well-structured Databricks notebook (or .py files) that reproduces the SAS logic for data cleaning, transformation, and aggregation. ...

I’m looking for a data-savvy partner who can turn my raw numbers into clear, actionable guidance that streamlines our internal processes. I have the data ready to go; what I need is a thorough analysis that highlights inefficiencies, pinpoints bottlenecks, and shows exactly where we can save time or money. You’ll be free to work in the environment you’re most comfortable with—Python (pandas, NumPy), SQL, R, or even a well-structured Excel or Power BI setup—as long as the final output is easy for my team to understand and replicate. A concise summary of your methodology, all cleaned datasets, and a visual or written report of the key insights will round out the hand-off. If you’ve previously optimized workflows or operations through data-driven insi...

I’m arranging a short-term training program for an engineering college and need a freelance technical trainer who can deliver an engaging Java Data Structures & Algorithms series to intermediate-level students. The cohort has already mastered core Java syntax; what they now need is clear guidance through data structures, algorithmic thinking, and hands-on problem-solving strategies that prepare them for coding interviews and competitive programming. While this round is Java-specific, the college may explore a Python DSA track next semester, so familiarity with both languages is welcome even if not essential right now. Here’s what I’m looking for: • A structured yet flexible curriculum that covers key data structures (arrays, linked lists, stacks, queues, trees...

I'm seeking an experienced ETL developer to help with data extraction and loading from database systems into Google Cloud. Key Tasks: - Set up and configure Google Cloud environment for ETL processes. - Extract data from various database systems (specific ones to be confirmed). - Load extracted data into Google Cloud storage or specified destination. Ideal Skills and Experience: - Proficiency in Google Cloud services, especially for ETL. - Strong experience with database systems, particularly MySQL, PostgreSQL, and Oracle. - Familiarity with ETL tools and data pipeline development. - Knowledge of data security and compliance in cloud environments. - Ability to troubleshoot and optimize ETL processes. Please provide examples of similar work done and your approach to ensure data int...

Comprehensive Cybersecurity Assessment and Strategy Implementation 1. Project Title Full-Scope Penetration Testing and Security Hardening 2. Project Description We are seeking a highly experienced and certified cybersecurity professional or team to conduct a comprehensive security audit, penetration test, and implement essential security enhancements for our Web Application. Our goal is to proactively identify vulnerabilities, achieve a robust security posture, and ensure compliance with industry best practices. Target Environment: Target: E.g., A multi-tenant SaaS platform hosted on AWS/GCP, or a corporate LAN/VPN infrastructure. Key Technologies: E.g., Python/Django backend, React frontend, PostgreSQL database, Docker/Kubernetes. Data Sensitivity: E.g., Handles PII (Personally Identifiab...

I want to build a set of AI-driven plugins that plug straight into our LinkedIn connection database and continuously enrich each profile with deeper demographic details and behavioural insights. The core workflow is data updating: whenever a new customer record appears—or an existing one changes—the plugin should trigger, fetch the most relevant external signals, run light machine-learning scoring if needed, and write the additional fields back to our CRM in real time. Scope • Data domain: strictly customer data. The enrichment must cover both demographics (age band, location, income range, etc.) and behavioural patterns (engagement frequency, preferred channels, likelihood to churn). • Automation focus: updating only. Collection pipelines already exist; I just n...