About Me.
Data & Backend Engineer
Paul Karikari is a Data / Analytics and Backend Engineer with 8 years of industry experience building a wide range of software and data products. in not just tech, but other areas of business such as product/SaaS growth.
Using his breadth of experiences he has helped companies develop, modernize and migrate their data infrastructure.
His professional experience includes leading teams and building resilient data/software systems across platforms/devices.
He has consulted for companies across industries that struggle to modernize their data analytics infrastructure. He has also helped companies reduce data operational costs by finding the right solutions while improving the company’s data maturity.
Paul is a data head, hence he has strong skills in the data arena, so he's a good candidate for helping you do just that. Additionally, he could also lend expertise to other areas of your business as well such as Product analytics and growth, User behavior analytics, technical writing, technical content marketing, and technical sales.
He is always interested in a challenge, whether your company is a startup or an established enterprise,
Paul can help.
Personal Information
- Name Paul Karikari
- Country England, UK
- Email paulkarikari1@gmail.com
SERVICES
Batch / Streaming ETL
Building reliable batch or streaming data pipelines requires rare expertise in distributed systems and sound engineering practices. With my background in software engineering paired with my knowledge in processing Terabytes of data efficiently, I will help your business build reliable and cost-effective data pipelines to support your analytical needs.
Data Warehouse/Lake
Transactional data is a critical and Vital business asset that requires efficient storage and archiving. The data has to be well modeled for easy use and access using industry best practices. With my Track record of building several reliable and cost-effective data warehouses, lakes, and storage solutions, I have probably worked on similar projects like yours. I will leverage my experience to build durable storage and easily accessible data warehouse/lake solutions that serve your business needs.
Data Strategy
Business needs to have an effective data strategy to make good use of their data.
On top of the technical work, I want to help you with the big picture. Whether you are a small or large company. I can help you take a high-level view of your company strategy and your data assets.
From there, we can design, develop, and implement a full-stack data strategy. From data source to data tools, dashboards, and algorithms.
Analytics
Businesses can take advantage of their data by discovering patterns and uncovering insights into data.
I will help your business make informed decisions by building analytical solutions to help gain insights into business operations and performance. examples of analytics projects I have worked on are Customer behavior Analysis, User activity tracking, User acquisition, and conversion, business performance, and KPI's dashboards etc.
Backend Engineering/
With my extensive experience in building scalable backend applications with complex features eg. payments, subscriptions, video streaming, etc I help companies build software products that enable them to meet their business goals.
Cloud Solutions Architect,
I will help your business take advantage of the many benefits of Cloud services by designing and implementing resilient Cloud solutions while optimizing cost.
CERTIFICATES
Technologies
TESTIMONIALS
Paul is a very professional and experienced data engineer/scientist. His guidance and advice helped set us in the right direction in our data analytics projects which put us in a better position for our next round of funding. I highly recommend Paul for any data engineer/scientist position.
When Paul joined the team, he did an incredible job to catch up fast with the running projects as a skilled software developer. Not only did he contribute in pure coding but he also brought a lot of value in terms of software architecture and concepts.
