Hire the best Amazon S3 Developers in Jersey City, NJ

Check out Amazon S3 Developers in Jersey City, NJ with the skills you need for your next job.
  • $80 hourly
    I have been coding for over 20 years, have a computer science degree, a PhD, and 7 years of IT consulting experience for major fortune 500 clients. I am AWS certified, I have intermediate experience with GCP, and am familiar with Azure. I am proficient in Python, SQL, Typescript, Bash, Terraform, Java, React Native, and other languages. I have worked with hundreds of APIs, including Google Sheets, OpenAI, GitHub, and many more.
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    ChatGPT
    GPT-4
    Data Science
    Scripting
    Google Cloud Platform
    Amazon Web Services
    JavaScript
    Bash
    Terraform
    API Development
    AWS CloudFormation
    Google Sheets
    Apache Spark
    Python
  • $40 hourly
    I am highly efficient and reliable professional who possesses a broad skill set for Mobile app and Web application development. (8 years of experience) A highly motivated, versatile expert, I have demonstrated expertise in software design and delivery covering mobile apps, and on-premise software. - Skills 1. Native app development ( 8 years ) : iOS ( Swift, UIKit, Swift UI ), Android ( Kotlin, Java, Jetpack Compose ) 2. Hybrid app development : Flutter ( 5 years ), React Native ( 3 years ) 3. Web development ( 5 years ) : PHP, Laravel, Angular, React
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    RESTful API
    Amazon EC2
    App Development
    Apple Xcode
    RxSwift
    MySQL
    PHP
    React Native
    Flutter
    Java
    Kotlin
    Android
    Swift
    iOS
  • $75 hourly
    Hi, I’m Ramakrishna, an aspiring Data Engineer and a certified Tableau developer with over 2 years of experience in the field of Data Science. My academics and practical experiences in Data Science have highly prompted me to become a dedicated and enthusiastic person that I am today. Besides academics, I have gained invaluable experience in several extra-curricular activities, advancing my interpersonal skills and raising my confidence. Moreover, I am a recent graduate with a Masters degree in Business Analytics. Graduate degree has prompted me to attain the necessary skills and transition into an analytics professional going forward. Excited about learning new technologies and implementing them practically, I had the most amazing opportunities to work for industry leaders and consulting firms. The most recent experience of mine accounts to be for the one from the FAANG, wherein I have worked as a Data Engineer for Amazon here in the United States. Working for Amazon, I had hands-on experience working for an end-to-end project with leading professionals in the domain. Prior to that, I have over 2 years of experience working for a leading tech startup in India dealing in consulting Data Science. These are my core competentices: - Experienced in effective communication to procure project requirements from the client and produce impeccable deliverables - Experienced in building Data Engineering pipelines using traditional/cloud based solutions. - Experienced in developing dashboards for different management levels in a hierarchy. - Experienced in developing predictive models for informed decision making. Here’s a highlight of the services I commonly help my clients with: ☑️ ☑️ Data Analytics Solutions & Business Intelligence Implementation (Amazon Web Services) ☑️ Data Visualisation & Dashboard Design / Development ☑️ Data Warehouse & Data Engineering Services ☑️ Data Science, Predictive Analytics & Machine Learning ☑️ Customer Segmentation, Churn Prediction 🛠 Here’s a highlight of the skillsets I commonly help my clients with: 🛠 Data Visualization: 🛠 Microsoft Power BI, Tableau, QuickSight Google Data Studio Data Engineering: 🛠 Amazon Web Services (AWS), AWS Lambda, AWS S3, AWS Glue, AWS Redshift, AWS MWAA Data Analytics: 🛠 R, Python, SQL Few of the industries I commonly work in constitute: 🔸 Retail 🔸 E-commerce 🔸 Consumer Packaged Goods 🔸 Financial Services 🔸 Manufacturing and Production 🔸 Non-profit Organisations
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    Apache Airflow
    ETL Pipeline
    Amazon Redshift
    Data Warehousing
    Amazon Athena
    Data Engineering
    AWS Glue
    Tableau
  • $90 hourly
    About Me I’m a Senior Data Engineer and Machine Learning Practitioner with a strong software engineering background, specializing in data pipelines, AI/ML infrastructure, and cloud-native solutions. With expertise in AWS, Databricks, Apache Spark, Langchain, MLOps, and large-scale data architectures, I focus on building scalable, cost-efficient, and production-ready solutions that drive real business impact. My work sits at the intersection of data engineering, machine learning, and cloud automation, allowing me to design, deploy, and optimize AI-powered applications end-to-end. I also received my Masters in Data Science further adding to my expertise with AI/ML. I’ve worked across highly secure environments, including defense-related work, and I bring a security-first approach to data pipelines and machine learning deployments. Whether it’s streamlining ETL processes, optimizing ML models, or deploying AI-driven applications, I focus on solutions that scale efficiently and integrate seamlessly into enterprise cloud environments. What I Offer 🔹 End-to-End AI Development – From data exploration to production deployment, I build and scale AI-driven applications that integrate seamlessly into cloud environments. AI Model Development & Fine-Tuning • Model Development & Optimization: Build and fine-tune models for structured and unstructured data, including computer vision (YOLO), NLP (transformers), clustering, anomaly detection, and time series forecasting. • Transfer Learning & Fine-Tuning: Utilize pre-trained models (BERT, GPT, CLIP, Whisper, YOLOv8, LLaMA, Falcon, etc.) and fine-tune them for domain-specific applications to improve accuracy while reducing training costs. • Hyperparameter Tuning: Automate hyperparameter optimization using Ray Tune, Optuna, and Bayesian Optimization to enhance model performance. • Few-Shot & Zero-Shot Learning: Implement low-data ML techniques to improve model generalization when limited labeled data is available. Retrieval-Augmented Generation (RAG) & Prompt Engineering • RAG Pipelines: Build custom knowledge-augmented LLMs that efficiently retrieve and generate responses using FAISS, Pinecone, ChromaDB, and vector databases. • LLM Fine-Tuning & Customization: Fine-tune LLMs for domain-specific applications, optimizing for efficiency, cost, and accuracy. • Prompt Engineering & Optimization: Craft optimized prompts for LLM applications, including Chain-of-Thought (CoT), ReAct, and Meta-Prompting strategies to enhance model reasoning. • Custom AI Agents & Workflows: Develop LLM-powered AI agents that integrate with databases, APIs, and enterprise systems for intelligent automation. Data Engineering & Cloud Pipelines • ETL & Data Processing: Build efficient, serverless ETL pipelines using Apache Spark, AWS Glue, and dbt to process and transform large datasets. • Streaming & Real-Time Data Pipelines: Architect real-time data ingestion and processing using AWS Kinesis, Kafka, and Flink. • Data Lake & Warehouse Architecture: Design AWS-based data lakes (S3 + Glue) and enterprise data warehouses (Redshift, Snowflake). • Infrastructure-as-Code (IaC): Automate cloud deployments using Terraform, CloudFormation, and Ansible. • Cost-Optimized Cloud Solutions: Implement cost-efficient storage, compute scaling, and serverless architectures for AI/ML workloads. Cloud & DevOps Automation • CI/CD for Data & ML Pipelines: Build automated pipelines for ML training, model deployment, and data processing using AWS CodePipeline, Jenkins, and GitHub Actions. • Kubernetes & Docker Orchestration: Deploy containerized applications with EKS (Elastic Kubernetes Service) for scalable ML models and data processing pipelines. • Security & Compliance: Implement secure access controls, IAM policies, and data encryption to comply with SOC 2, HIPAA, and DoD security standards. • Monitoring & Observability: Set up CloudWatch, Prometheus, and Grafana dashboards to track performance and optimize cloud resources. Why Work With Me? I bring a unique mix of data engineering, artificial intelligence, machine learning, cloud architecture, and security expertise, making me well-suited for highly complex, large-scale projects. Here’s what you can expect: ✔ End-to-end AI & Data Solutions – From raw data ingestion to production ML models, I handle the entire pipeline. ✔ Scalable & Cost-Efficient Infrastructure – I optimize architectures to reduce costs without sacrificing performance. ✔ Security-First Mindset – With experience in highly regulated industries, I ensure robust security & compliance. ✔ Production-Ready AI – I specialize in deploying AI models that deliver real business impact, not just research experiments. ✔ Cloud-Native Expertise – I build solutions that leverage AWS, Kubernetes, and Spark for enterprise-grade scalability. If you’re looking for a data engineer who understands your business objectives, machine learning, DevOps, and cloud automation, let’s connect. 🚀
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    dbt
    Apache Airflow
    Data Migration
    Databricks Platform
    Amazon Redshift
    Amazon RDS
    AWS Lambda
    Amazon ECS
    Retrieval Augmented Generation
    LLM Prompt Engineering
    LangChain
    ETL
    Machine Learning
    Artificial Intelligence
  • $28 hourly
    Hi I am a Data Engineer with web development experience. I worked in large retail corporate before started freelancing. I am experienced in writing ETL pipeline to process data. I am also a native mandarin/cantonese speaker, I am comfortable with working with East Asian industries.
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    PySpark
    AWS Glue
    Translation
    Spring Boot
    Java
    Python
    Data Analysis
    Data Engineering
    Agile Software Development
  • $25 hourly
    Hi I am FullStack engineering changing the world with React graphQL and node. I have experience with Azure and AWS
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    Routing
    Database
    Beanstalk
    Mocha Framework
    Microsoft Azure
    Node.js
    React
    JavaScript
    MongoDB
    Vue.js
    ExpressJS
    GraphQL
    HTTP
    Amazon Web Services
  • $12 hourly
    DevOps Engineer | Cloud Specialist | Automation Expert With a strong foundation in Information Technology and a Master's in Software Engineering, I bring a unique blend of academic excellence and hands-on experience in DevOps, cloud platforms, and infrastructure automation. My career highlights include enhancing large-scale systems, creating robust automation pipelines, and delivering innovative solutions that streamline operations and improve performance. What I Offer: DevOps Expertise: Proven experience in building and managing pipelines, automating workflows, and enhancing infrastructure stability using tools like Jenkins, Docker, Kubernetes, and Terraform. Cloud Proficiency: Skilled in leveraging AWS and Google Cloud Platform for automation, certificate management, and monitoring solutions. Programming Savvy: Adept in Python, Bash, and Ruby, with a track record of developing efficient scripts and automation tools. Security and Monitoring: Designed security pipelines to scan and quarantine files with ClamAV, ensuring compliance and safety for cloud data. Innovative Problem-Solving: Built an intelligent DevOps chatbot using a vector database and the Mistral 70B model, empowering teams with instant access to company-specific documentation. Notable Projects: Automated the health monitoring of a 50-node big data platform, generating comprehensive service reports and enhancing system reliability. Created a seamless integration to send Nagios events to Google Chat using AWS SNS and Google Apps Script, reducing response time for incidents. Developed an RAG pipeline with a vector database to assist DevOps teams in retrieving critical information efficiently. Why Hire Me? I’m passionate about solving complex technical challenges and helping businesses optimize their infrastructure. Whether you need to automate processes, enhance system performance, or secure your cloud environment, I have the skills, tools, and drive to deliver exceptional results. Let’s collaborate to take your project to the next level! 🚀
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    AWS Glue
    AWS Fargate
    AWS Lambda
    Automation
    Bash
    Big Data
    Red Hat Enterprise Linux
    Red Hat Administration
    Flask
    DevOps
    Python
    Kubernetes
    Docker
    CI/CD
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