MS, CS 🎓
📍 I'm a Houston based Data Engineer with a strong foundation in Data Analysis, Machine Learning, and AI.🤖 I specialized in transforming complex data into clean, efficient solutions that save time and money. My expertise spans Azure, AWS, and Google Cloud, I ensure data does more than just take up space.🤩
With Python, PySpark, SQL, and a suite of data engineering tools in my toolkit 🛠️, I excel at building scalable data architectures and streamlining complex data pipelines. My technical proficiency allows me to drive innovations that enhance data accessibility and integrity, ensuring that insights are both actionable and impactful. Whether it's optimizing data storage with Hadoop 🐘, processing large datasets with Spark 🔥, or managing real-time data streams using BigQuery 📊, my approach is always tailored to meet the unique needs of each project.
I'm constantly exploring new ways to apply my skills in data engineering to deliver solutions that make a real difference. Whether it's through pioneering innovative projects or refining existing systems, I am dedicated to unlocking the full potential of data. Let's harness the power of data together. 🌟

Expertise in building scalable data architectures, developing ETL workflows, and data warehousing. Proficient in managing big data technologies such as Hadoop, Spark, and BigQuery. Experienced with data lakehouse solutions and optimizing data storage and retrieval with technologies like Azure Blob Storage and Amazon S3.
Proficient in applying advanced machine learning techniques and AI methodologies to improve data-driven decision-making and automation. Familiar with deep learning architectures like CNNs and RNNs. Experienced in using generative models and understanding their applications in creating synthetic data and features like word embeddings for natural language processing tasks.
Proficient in Python, Java, Scala, SQL, and JavaScript. Strong background in software development practices, including version control with Git, continuous integration, and Agile methodologies.
Skilled in extracting insights and visualizing data using tools like Tableau and Power BI. Experienced in statistical analysis, predictive modeling, and utilizing machine learning algorithms to interpret complex data sets.
Deep knowledge in implementing cloud solutions with AWS, Azure, and GCP. Proficient in using cloud-native services like AWS Lambda, Azure Data Factory, and Google Cloud Pub/Sub for enhancing data processing and workflow automation.
Advanced SQL skills for complex query development and database optimization. Experience with relational databases like MySQL, PostgreSQL, and NoSQL databases such as Cassandra and MongoDB.