Data Processor

Data Analytics Bucharest, Bucuresti, Romania

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Summary

Build custom SQL data collection, based on customers data collected via tracking and stored in dedicated databases
using technologies like MySQL, MongoDB, BigQuery and OOP to extract, process and store data
Build Feeds (csv or xml files), based on customers data collected via tracking and stored in our databases
all stored in Google Cloud Platform (CGP); using data extraction from BigQuery or MongoDB with PHP7&OOP
Implement integrations (with Hubspot, Intercom, Mailchimp, Mixpanel, Chartmogul, CustomerIo, Mandrill) for uploading customer's data, extracted from tracking and processed to fit both APIs & customers requirements
using technologies like MongoDB, Curland dedicated API foreach of them, to upload data and/or check the result
Improving or extending functionalities in our application pages (built on MVC structure), both on front-end as back-end side, requested by R&D, Customer Support or Marketing Departments
using technologies like HTML, CSS, JavaScript, jQuery, AJAX, MySQL and CRUD operations.
ETL Processes - Extract Transform Load Data