Hello, It's Me

Daverson Arenas

And I'm a

I am a experienced Data Engineer specializing in designing and implementing cloud-based data solutions Proficient in both AWS and Azure infrastructure Skilled in building data solutions using Databricks, and recognized for strong analytical abilities and effective teamwork

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About Me

Welcome!, What a nice surprise to see you here.

I am an experienced Data Engineer with a passion for designing and implementing cloud-based data solutions. My expertise lies in working with both AWS and Azure infrastructure, and I have a strong background in data management, utilizing tools such as Snowflake, PySpark, Spark SQL, and Python. Building big data solutions using Databricks, Azure Synapse, and AWS EMR is one of my recognized strengths.

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Cloud Certifications

Microsoft Certified:
Azure Fundamentals

Throughout my journey to achieve this Certification, I've acquired a wealth of knowledge and valuable skills in the world of cloud computing. This certification has been a significant milestone in my career. Skills/Knowledge: Azure, Cloud Data, Cloud Networking, Cloud Security, Cloud Services, Cloud Storage, Virtualization.

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Databricks Certified
Data Engineer Associate

From working with Apache Spark and Delta Lake to designing efficient data pipelines and harnessing the potential of Lakehouse architecture, this certification has honed my skills in driving data-driven solutions. Skills/Knowledge: Apache Spark, Delta Lake, Databricks, Lakehouse, Delta Live Tables, Data Pipelines, ETL, Production, SQL, Python.

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AWS Certified
Solutions Architect

I'm working towards achieving the AWS Solutions Architect - Associate certification, I've been working in a diverse array of AWS services and technologies. This certification emphasizes the design of cost-effective and high-performance solutions while showcasing my strong grasp of the AWS Well-Architected Framework.

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Latest Project

Data Engineering

Lakehouse Architecture on Azure Cloud: Building an Advanced Data Platform Solution with Databricks, Synapse Analytics, and Data Factory.

Data Science

Development of Predictive Models for Diverse Use Cases using Advanced Machine Learning Algorithms.

Distributed Computation

Parallel Training of Machine Learning Models on AWS EMR Cluster.

Streaming Application

Real-time Data Processing with Kafka Streaming

Web Development

Full-Stack Application with Angular, AWS Amplify, Lambda Functions, DynamoDB, and Cognito

DevOps and MLOps

Seamless Deployment of Web Apps and ML Models using AWS Services, Docker, and Kubernetes

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