• Working on the customer lifecycle workflow and management features of an investment API platform

• Furthered the development of new features on the current platform and maintained the integration of current systems.
• Implemented an api proxy service to manage bulk importation of data.
• Introduced Docker to the team and integrated into the codebase and the pipeline.
• Updated the whole codebase to follow PEP 8 standards.
• Mentored interns on good software development practices.

• Worked on Conceptualizing, developing, and monitoring pipelines for data extraction, processing, and integration.
• Ensured high data quality in the systems by implementing data models and standards in adherence to defined principles and guidelines of data security, data privacy and data management also integrating the developments into existing platforms.
• Developed database connectors for MemSQL, MySQL and Databricks databases to perform various operations on large tables present on these databases. These connectors are used by other engineers in the company to create software that perform data analysis and reporting.
• Focusing on advancing of the digitization of PwC?s audit process as well as related digital products and services by building tools, components and integrations between PwC platforms and client data processing in collaboration with the project team.
• Mentored teams on good software development practices and on how to write good Python code by conducting knowledge sharing and pair-programming sessions.

• Design and develop automation systems that aided staffing of external and internal candidates into Klarna. This reduced the manual work done by recruiters by more than 50%.
• Implemented Lever API to help automatically manage candidates throughout the recruitment process ? from sourcing to contract signature.

Worked closely with Data Scientists to design and create a data orchestration tool from scratch that handles hundreds of terabytes of data daily. It also performs data cleaning as well as quality checks. Added an API endpoint to allow other entities in the company to fetch data relevant to their needs

• Worked closely with Data Scientists to design and create a data orchestration tool from scratch that handles hundreds of terabytes of data daily. It also performs data cleaning as well as quality checks. Added an API endpoint to allow other entities in the company to fetch data relevant to their needs
• Developed a Loyalty Point System and an API to interact with it ? which increased the customer retention rate by 30%. The service and its API are being used by other software engineers, in the company to create cashback campaigns.
• Revamped the current billing system for restaurants that use our platform. This helped the company to be more transparent with what it bills the restaurants and in turn, helped the restaurants to better understand their invoices.
• Led a team of 2 to develop a new Payment Service - for a new vertical - which was used to execute different types of online payments including credit cards and PayPal.
• On-boarded junior software engineers and coached them on the tools and services we use.

• Designed and implemented a RESTful API used by third parties to retrieve the company?s flight data for any period.
• Implemented a near real-time flight status system by creating a RESTful API that fetches data either from the database or from a cache. It is mainly used by the pilots and cabin attendants to schedule their shifts for the week and by business analysts to get real time data when needed.
• Installation and maintenance of airport counters and self-check-in kiosks at new flight destinations.
• Designed and develop a GDPR compliant pilot/cabin attendant recruitment platform. The platform records the relevant data potential candidates and provides the data in a user-friendly usable for recruiters. It enables them, among other things, to easily search for candidates, rate them on various criteria such as soft and hard skills and aggregate the whole data to on certain criteria which can help them to decide on which candidate to hire. 

• Developed a system to manage company-related tasks such as employee work statistics and job reports.
• Improved the time taken for the weekly deployment (which was mainly done using Python scripts) by 30%
• Created a web scraper that scrapes websites for relevant statistical data and downloads CSV files from these said sites. The program further crunches the data and uses it to update the company?s KPI spreadsheets.