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Top freelance Aws athena developers available to hire
I am a senior full-stack & DevOps developer with a track record of maintaining distributed infrastructure, recent deep experience in large-scale data pipelines and a growing skillset and interest in applied AI/LLM integration.
My recent work at an e-commerce search engine startup had me building and maintaining scrapers and a data pipeline that ingested over 10M product SKUs into an OpenSearch index, which was used for hybrid vector+lexical product search, enriched with LLM signals extracted as part of the pipeline. I've used reranking techniques like RRF to enhance relevance after retrieval, and RAG/grounding for features that answered personalized user queries with recommendations grounded in real customer reviews.
My earlier work was heavily full-stack and always involved infrastructure where I often built and supported systems end-to-end, very often in context of a regulated market - with great examples like Deckard (PropTech/GovTech), Sick Children's Hospital/RareConnect (Healthcare-adjacent), and Ethoca \[now MasterCard\] (FinTech).
I've also led IaC initiatives at Ethoca (Chef/Ansible, in 2016-17), and even implemented IaC from scratch for two startups - Pastel Labs (Terraform automation of AWS infrastructure for a B2B SaaS and a tutoring marketplace, in 2021), and Rilara (Pulumi for AWS infrastructure of their e-commerce product, in 2025-26).
My startup experience is proven track record of working independently, but I also thrive as part of a team, with most recent example of being part of Deckard's distributed remote engineering team of 25+ people spread across the US and Australian timezones.
Claude Code is part of my everyday workflow, and I am happy to consider myself a relatively-older senior developer who has successfully adapted to an AI-assisted/AI-first SDLC without compromising the quality of my work.
I would be very excited to continue my journey with an opportunity in healthcare or finance, where I could apply my IaC skills while continuing to explore the world of LLM applications to improve user experience in these regulated environments.
Should you have any questions about any of the background I mentioned here or on the attached resume, I would be glad to answer them in an interview at a time of your convenience.
Thank you!
Data engineer | Machine Learning Engineer | Software engineer
with proven record of 10 years in building data strategy and delivering ML/AI and data solutions
I have experience in several front end and back end languages, but spend most of my time in Javascript these days.. I love working with emerging technologies and keeping up with all that surrounds Javascript. I have been working with Javascript since it's infancy, and feel that it is the single best language for any programmer to understand and master. Give me a ring if you are ready to learn!
```['B', 'R', 'E', 'A', 'K', ' ', 'S', 'T', 'U', 'F', 'F'].forEach(xD => console.log(xD));```
Hi everyone!
One of the crucial problems in software engineering is the balance between quality and deadlines. Sometimes we need to release our apps _today_, or the business opportunity will fade away. More often than not, engineers are forced to give up quality and incur into technical debt.
I firmly believe that we can achieve great quality and still meet deadlines by following common (engineering) sense and good practices. I strive to meet business requirements while still delivering solid code and architecture, so that applications can be starting points rather than a maintenance nightmare.
My area of expertise includes:
- AWS
- Architecture (including serverless architecture)
- JavaScript (NodeJS), TypeScript and Python
- Django, Vue.js, serverless computing
- Unit, Integration & E2E testing (pytest, mocha, jest, cypress)
`Typescript (Javascript), Python (Django)`, `PHP (Laravel, Wordpress)`, `Flutter (Dart) and` `3X Certified Salesforce Consultant` `(Dart)` with 5+ years dedicated expertise in end-to-end application development. Proficient in harnessing Python frameworks including Django, Flask, Pandas, Tensorflow, and Microservices. Skilled in AWS, GCP, Heroku Cloud platforms, combined with frontend expertise in NextJs, React.js. Well-versed with databases like MySQL, PostgreSQL, MySQL, and MongoDB. Utilizes robust communication and collaboration capabilities to ensure projects resonate with client goals efficiently and sustainably.
`**Key Strengths & Qualifications:**`
* **Full Stack Expertise:** Proficient in frontend and backend development, with a focus on creating seamless user experience and scalable server-side applications.
* **Backend Mastery:** Extensive experience in Python language programming, enabling the development of efficient and maintainable backend systems, Restful APIs, and microservices using Django, Flask, TensorFlow, LLAMA and Numpy.
* **Frontend Proficiency:** Skilled in modern frontend technologies, including JavaScript ES6, React, Angular and Vue, allowing for the creation of responsive and user-friendly interfaces.
* **Database Management:** Experienced in designing and optimizing databases on PostgreSQL & Oracle, to ensure data integrity and high-performance data retrieval.
* **Cloud Expertise:** Proficient in deploying applications on major cloud platforms such as AWS, Azure, and GCP, with knowledge of containerization (Docker, Kubernetes).
I'm well-versed in a broad range of AWS services, including EC2, S3, Lambda, and VPC. My responsibilities have encompassed designing scalable architectures, implementing security best practices with IAM, and optimizing cost and performance across cloud resources.
I have hands-on experience deploying and managing containerized applications using Docker and Kubernetes. This includes setting up Kubernetes clusters. My work ensures high availability and scalability of microservices architectures.
* More than 21 years of IT experience
* AWS Cloud wrangler
* Finished HDP Operations: Administration in 2017 in London and become certified Hadoop administrator (http://bcert.me/srgeppkg).
* Worked with 50+ Pb cluster (Hbase 6Pb+).
* Developed and teached course "BigData. Introduction to Hadoop"
As a Product Architect, I have designed more than 20 MVPs, many now successful startups. I wouldn't be opinionated on choosing any specific framework, rather I would prove my decision with benchmarks and other statistics. I'm a Polyglot Developer, however, I'm slightly biased towards Rails ;) I've built complex systems, handled complex migrations.
I believe in Happy Clients, If there is something I can't do it, I would be proactive enough to let you know that just in case.
Skills:
* AWS Serverless Stack - I've saved my client 30% of OPS Cost using Serverless stack.
* Framework: Ruby on Rails, Phoenix, MEAN stack
* JS Frameworks: Angular.js, React Redux, Knockout.js
* Search: ElasticSearch
* Databaes: MongoDB, Postgresql, MySQL, SqlLite
* Amazon AWS: S3, EC2, SES, SNS, ELB, AutoScaling Group, Elastic Beanstalk
* TDD: Rspec/Capybara/MiniTest/Jasmine
* UI Framework: Bootstrap
* Server: Phushion Passenger, Puma, TourqueBox, Unicorn, Nginx
* Configuration Management: Vagrant, Ansible, Chef scripts, Docker, CI/CD Process
* Stress/Load Testing
* Deployments: Capistrano Scripts
* Data Analytics using ELK, Mongodb Aggregation
* CMS: Wordpress Joomla
Hello everyone!
I'm Mateus, a full-stack **Data Scientist** from Brazil with a background in **Digital Signal Processing**. I graduated from **Brown University** in 2018 with a Bachelor of Science in **Electrical Engineering** and have been working in the Data domain ever since. I have experience with the full scope of the Data Science process, from building data pipelines and developing models to evaluating A/B tests for Data Products.
I'm open to any mentorship opportunities related to data, especially when it comes to **Machine Learning**, **Natural Language Processing**, **Python**, and **Elasticsearch**.
I am currently a Data Scientist at Microsoft and have previously worked at the largest investment bank in Latin America and at Telefonica.
Throughout my career, I developed skills and projects in various segments, including Customer Segmentation, Next Best Offer models, and detection of rare events.
I have over 4 years of experience in programming with Python, Machine Learning (especially when applied to CRM and Product Analytics), and Natural Language Processing. I also have solid experience implementing data orchestration and Elasticsearch-based analytics.
Finally, I have been a mentor for both for-profit and non-profit organizations since I was 16 years old. I'm extensively trained in mentorship and tutoring and have mentored all kinds of people in many topics, from essay writing to machine learning.
Hi! Hope your search ends here! I am an experienced Data Specialist with over 6 years of expertise in leveraging data analysis to drive value across diverse sectors. My background as a Mechanical Engineer, combined with a strong belief in a data-driven culture, allows me to optimize processes, improve management, and create competitive advantages. I am proficient in Business Intelligence, Power BI, and Python, and have a proven track record of helping organizations make better decisions in areas such as Logistics, Sales, Manufacturing, and Financial Services. Get in touch so that we can get you up and running!
I'm a backend software engineer working primarily with Python. I see software as a tool to solve problems, instead of the goal in itself. Sometimes it's necessary to compromise software quality perfection in favor of other goals and needs. When this is the case, I strive to make trade-offs conciously and judiciously.
My background involves building products with complex third-party API integrations, large scale data processing and ETL jobs, dealing with unstructured data sources, implementing automated unit & integration testing. I also have experience with implementing AI/ML models and libraries, especially LLM and NLP-related.
AWS is the cloud provider I have most experience with, in both traditional architectures using EC2, RDS, ELB, etc, as well as serverless architectures using Lambda, API Gateway, DynamoDB, Aurora Serverless, S3, Kinesis, Athena, etc.
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