Position: Python Software Engineer with AWS
Category: Python
Experience: 8 years | English: upper

Worked with the teams in the technical lead role changing the state of the product from "issues are everywhere and stakeholders are angry" to "product is stable and we can plan further enchantments for it". 

Worked with marketing platforms a lot and also have proven expert knowledge in the digital marketing field (managing advertising budget over $100k per week). 

I understand how business works and can handle tasks that help companies to grow on a scale. If you need someone with good problem-solving skills, let's talk. 

1. Designed architecture and implemented core functionality for international speech2text post-processing service which allows getting grammatically correct text version for the recorded audio conversation. Service uses a crowdsourcing model to distribute work and allows the company to overcome bottlenecks in its operations.
2. Designed and implemented a platform to manage 1M+ ads (ads creation, bid management) for E-commerce projects. 
3. Built and implemented algorithms for bid management which allowed us to increase online marketing ROI by 30%. 
4. Implemented account mapping solution having 85% accuracy and outperformed the solution from the company which is 5 years in the business already. Also, it allowed processing 10x volume of leads without significant team expanses. 
5. Scaled and accelerated business process which reduces time to follow up with event prospect leads from 5 days to 1 day and a half.
6. Implemented incoming leads scoring ML project which allowed the marketing team to be focused on leads with the highest value for the business. 
7. Implemented UX intelligence for the banking mobile app. The app is used by 8M+ users daily.
8. Designed and integrated BI intelligence platform for E-commerce project which allowed the company to save ~150 working hours of analysts team monthly and unlocked data-driven business decisions on the project.
9. Designed and implemented a solution to capture website clickstream data(visits/on-page events) for the E-commerce project handling 100x of events per second.
10. Built infrastructure to pull orders/purchases customers' data from Amazon Selling Partner API.
11. Improved E2E tests for the analytics platform. Testing runtime reduced from ~150 seconds to ~25 seconds per run.
I am based in Portugal.
8+ years of commercial Software Engineering experience.
Last 6 years in Python.
8+ years of AWS experience.

* Created ads management platform as a Software Engineer. Ads for 1.5 million products were managed by this software. 
* Implemented system for incremental UX improvements for banking mobile application (8 million users daily).
* Provided technical leadership for the team of 2-3 less senior developers.
* Can handle both backend and frontend tasks usually with an 80/20 distribution rate.

#1
* Company: San Francisco-based company developing an E-commerce analytics platform powered by AI.
* Role: Core platform Senior Software Engineer
* Project Goal: Provide enterprise-level E-commerce analytics to smaller online retailers. 
* Technologies: Python 3, Flask, BigQuery, React.js

#2
* Company: London-based company developing the platform for consultations. 
* Role: Senior Software Engineer/Architect
* Project Goal: Scale processing of grammatically-correct speech2text transformations. 
* Technologies: Python 3, Django 3, GraphQL, React.js 

#3
* Company: Unicorn Boston-based company developing machine learning automation platform. 
* Role: Software Engineer/Solutions Architect 
* Projects Goal: Scale different parts of the company using the power of Python, algorithms, and machine learning. 
* Technologies: Python, Flask, JavaScript(React.js), APEX, Prodigy, Postgres, MongoDB, Apache Airflow, AWS Cloud Stack (Lambda, S3, SQS, EC2, etc.) 

#4
* Company: Copenhagen-based marketing agency. 
* Role: Software Engineer 
* Project Goal: Scale app which simplifies online events management. 
* Technologies: Node.js, Oracle Eloqua API

Technical stack I've worked with:
Languages: Python, Javascript, Node.js, APEX(SalesForce Java-like language)
Frameworks: Django, Flask, React.js 
Storage: Postgres, DynamoDB, Redis, BiqQuery
APIs: Twilio, Google Ads, Google Analytics, Facebook Ads, SalesForce, Marketo, Eloqua, Hubspot, Yandex Direct 
Libraries: SQLAlchemy, Alembic, Prodigy 
Tools: AWS stack (AWS Lambda, S3, Aurora, DynamoDB, SQS, SNS, ...)
* Highly interested in AdTech/E-commerce domains;
* B2B contract;
* Remote job.