I turn data into actionable strategies and scalable solutions, guiding the strategy and feature set of data products to unlock their full potential. “Without data, you’re just another person with an opinion.” —W. Edwards Deming
As a seasoned Engineering Leader in Data and AI Products, I specialize in architecting and delivering innovative data solutions that power decision-making, enable advanced analytics, and drive business growth. From designing robust pipelines to managing terabyte-scale data streams, I focus on creating systems that are resilient, efficient, and aligned with business objectives.
My leadership is rooted in fostering excellence and collaboration within cross-functional teams. I work closely with data engineers, scientists, and stakeholders to build infrastructures that enable cutting-edge machine learning models and actionable insights.
Key Achievements:
– Designed and scaled large-scale data systems to process complex batch and real-time data pipelines.
– Delivered cloud-native solutions using AWS tools like Redshift, DynamoDB, S3, and ElasticCache.
– Expertise in frameworks and tools such as Airflow, Kafka, Spark, Hadoop, Redis, MongoDB, and RabbitMQ.
– Advanced software development skills in Node.js, Python, and Erlang for building robust applications.
– Data warehouse and Datalake Snowflake, Redshift, Databrick
I am deeply passionate about helping businesses succeed by leveraging data and software tools to build products that deliver measurable outcomes. My mission is to transform raw data into actionable insights that empower organizations to make informed decisions and achieve sustainable success.
