Data Engineering
Is your organization taking advantage of all first party data collected each day? Start making the most of your information and improve your day to day decisions both operational or strategical.
Why do companies reach us for their Data Management?
Data driven decisions are not the future anymore
it’s happening right now
Do you have someone in your organization that’s already putting to work all that raw data? In this current digital world, everything is about insights, dashboards and indicators that can actually help you make better decisions everyday: from logistics, stock management, sales & much more.
Here, at Devlane, we are prepared to set up a team of data analysts or data engineers which have been trained with the latest data engineering tools and methodologies and are ready to start putting to good use those databases you have.
How does a data strategy help businesses today?
Increased Revenue
Enhanced Efficiency
Better Decisions
Audience Targeting
Identify Opportunities
Actions based on Trends
A better way to extend your team
We decided to aim higher and kick the playing board. You can learn more about what our partnership will be like and the differential we propose vs. other companies.
A Four-Step Journey
Did you know that we have an internal recruiting team plus a network of partners distributed across all LatAm for hiring? This allows us to screen thousands of candidates per week and find the best talent in the region suited to your team and your needs.
Initial Brief
We’ll meet with you to discuss your current needs, timeline, budget, tech stack and what your company is generally requiring.
Candidate Screening
We’ll introduce you to our most suitable available developers or start the corresponding recruiting process for the specific resource needed. We take care of the initial screening and technical interviews, and then involve you in the selection process as you would an on-shore candidate.
Onboarding
We familiarize the team with your company’s required practices. We set up the hardware and tools needed, integrate them into your communications flow, and do the necessary training to ensure a great work startup.
Scale, Follow & Maintenance
Our engineering director will do weekly/monthly follow-ups with the team and your executives/managers to discuss: Backwards feedback, assignment strategies, team growth, and adaptation to new challenges/technologies.
Our Data Engineering & Data Analytics services that we are prepared to add
Besides applying good practices in data engineering, all our projects are managed by our engineering director, which ensures the work is done correctly; avoiding drawbacks or setbacks in the project.
Current Technologies and frameworks we work with
Our experience with these tech stacks is driven by our experience working across multiple industries, and based on the highest demand in the market.
.svg.png){kind=logo}
How does the startup process work for you?
Only applies if we are starting up the data engineering process, if not, we’ll adapt to your current team and rules as a perfect extension.
Data Strategy
Data Management
Real-time Reports
Quality check and Review
Clients that added Data Engineers to their teams with us
Meet some companies that added Data Engineers to their teams
Grindr
Grindr is a location-based social networking and online dating application targeted toward members of the gay, bi, trans, and queer community.
We are currently providing four Data Engineers to their team that helped with the migration of ‘’Cloudera’’ to ‘’Modern Stack Data’’. This required the comprehension of over 150 data pipelines, data migration, and the infrastructure setup needed to make these changes happen.
Everlane
Everlane is an American clothing retailer that sells primarily online with stores in New York City, Boston, Los Angeles, Austin, and Palo Alto.
We added a data engineer from our team to work full-time with Everlane and with data pipelines for email, performance marketing, and product analytics. A BI analyst was also added to the team to focus on a business perspective on analytics for performance marketing, primarily using SQL and Looker.
We also have React and Ruby on Rails developers working on the e-commerce platform they offer to their customers.
Flipp
Flipp is a digital marketplace used by millions that reinvented how people plan their weekly shopping trips, allowing customers to decide what to buy based on proximity, best cost, and other filters across North America.
We are currently adding four engineers to their team, entirely focused on Data Engineering, where we process and modulate their data to optimize operations and reduce manual work. Our Data Scientists developed an A/B testing to try different changes on flyers’ presentation on the marketplace taking the images provided by AMP studio from the other webs to be presented in Flipp’s marketplace.
Also, they are working on a ranker for the results shown on Flipps' marketplace. This AI for ranking the results is being built using scala, python, spark, SQL, and data bricks and working on machine learning so the ranker can grow and learn the more people use the platform.
Confidential
The client, a recent dating app launched in the US, is extending their team with 3 data engineers that have the responsibility of synchronizing and consolidating different data sources such as external services APIs, app DBs, and user events provided into one big data lake connected with analysis tools such as PowerBI and DBbeaver. We understand, propose and implement business and marketing engagement, traffic, and attribution indicators. We also research, present, and own data-related technologies like user tracking, pipelines, storage, visualization, and analysis, considering limitations, pricing, etc.
We use MySQL, AWS RDS, Redshift, AWS S3, Apache Airflow, Apache Flink, Kafka, Statsd, Spark, and AWS Lambd. For UX and visualization: Mixpanel, PowerBI, DBbeave. For programming: Python and JavaScript.
