About Me
I am an accomplished Data Engineer with more
than 12 years of experience driving technological
innovation across healthcare,
telecommunications, and logistics sectors. I am
an expert in Python, SQL, Java, and Scala, with…
I am an accomplished Data Engineer with more
than 12 years of experience driving technological
innovation across healthcare,
telecommunications, and logistics sectors. I am
an expert in Python, SQL, Java, and Scala, with
specialized skills in real-time data processing
using Apache Kafka, Spark, and Flink. I am
proficient in managing both RDBMS
(PostgreSQL, MySQL and NoSQL databases
MongoDB , and have extensive experience in
data warehousing with Amazon Redshift and
Snowflake. I excel at leveraging cloud platforms
like AWS, Google Cloud, and Azure, and
automating infrastructure with Terraform and
CloudFormation. I have a proven track record of
developing and actualizing data-driven solutions
from the ground up, optimizing data
architectures, and leading cross-functional
teams to deliver impactful results.
Experience
SENIOR DATA WAREHOUSE ENGINEER
Implemented CI/CD pipelines, utilized insights to optimize patient data integration, deploying ML models, managed code and model versions with Git, used Docker and Kubernetes for scalable integration solutions, enabled real-time patient data access without replication, created a unified data fabric for seamless access, developed new features based on data insights, implemented AWS Lambda
Senior data warehouse engineer
Spearheaded the redesign of data warehousing solutions, improving data extraction times by 30% and accelerating analysis speed by 20%.
Managed a team of 10 data engineers, enhancing productivity by 40% through focused training and skill development.
Established real-time data processing frameworks with Apache Kafka and Spark, halving data latency.
Engineered ETL pipelines using Python and SQL to ensure seamless data integration and maintain high data quality.
Leveraged Amazon Redshift and Snowflake for scalable data warehousing, facilitating advanced analytics and reporting.
Utilized cloud platforms (AWS, Google Cloud, Azure) to deploy robust solutions, guaranteeing high availability.
Streamlined infrastructure management with Terraform and CloudFormation, reducing operational overhead and improving deployment processes.
CLOUD DATA ENGINEER
Integrated ML models into data pipelines for customer data, utilized SQL for querying and managing customer data, developed integration algorithms in Python, created dashboards using Tableau for data insights, cleaned and prepared telecommunications data, extracted relevant features to improve model accuracy, ensured compliance with telecommunications regulations
DATA ENGINEERING TRAINEE
Led a team to develop inventory forecasting models, managed timelines, resources, and stakeholder communication, developed strategic plans for forecasting implementation, used Agile for iterative development, fostered a culture of innovation for forecasting techniques, regularly communicated progress to stakeholders
Data engineering trainee
Created and implemented data solutions tailored for cybersecurity applications, serving diverse corporate and government clients.
Optimized ETL processes to manage and integrate large volumes of security data, ensuring high data integrity and availability.
Employed big data technologies like Hadoop and Spark for processing and analyzing security data in real-time.
Collaborated with senior engineers to enhance data pipelines and improve system performance.
Cloud data engineer
Crafted and maintained scalable data architectures to meet Twitch’s live streaming and user data requirements.
Constructed real-time data processing systems using Apache Kafka and Flink, reducing data latency by 50%.
Assembled and managed ETL pipelines with Python and SQL, ensuring high data quality and seamless integration.
Deployed data solutions on AWS, achieving high availability and scalability.
Enhanced deployment efficiency by automating infrastructure processes with Docker and Kubernetes.
Partnered with data scientists and engineers to support data-driven decision-making and analytics.