About me
Are you looking for a Data Engineer who bridges deep technical skill with real-world business value? Let’s connect!
I’m a results-driven Data Engineer with a Master’s in Computer Science from Syracuse University (May 2024) and over 3 years of experience building scalable data pipelines, cloud-native platforms, and real-time analytics systems. From Morgan Stanley to Intuit, I’ve architected data solutions that power smarter decisions across finance, retail, and healthcare domains.
My technical toolkit includes Python, SQL, PySpark, and tools like Apache Airflow, Kafka, and dbt for building robust, modular ETL pipelines. I’m proficient with AWS and Azure cloud platforms, leveraging services like S3, Glue, Redshift, Lambda, and Databricks to process petabyte-scale data and ensure high availability and performance.
Whether it’s migrating critical workloads from Hadoop to Snowflake, optimizing real-time ingestion pipelines for tick data, or developing interactive dashboards using Power BI and Tableau, I’m passionate about building systems that are not only efficient but also drive business outcomes.
I thrive in fast-paced, cross-functional environments where collaboration meets innovation. My ability to break down complex data into actionable insights has helped optimize workflows, improve customer experience, and drive smarter business decisions across finance, tech, retail, and healthcare domains.
Outside of work, I’m constantly exploring the latest trends in AI and cloud technologies, while nurturing a lifelong love for reading and music. This balance fuels my creativity and helps me think outside the box.
Let’s connect! I’d love to help your team turn complex data into actionable systems and insights.
Technical Skills
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Programming Languages & Tools
Python, R, SQL, Docker, Kubernetes, CI/CD Pipelines, Git, Jenkins, Agile, Scrum, JIRA, OpenAI
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Data Engineering & Cloud
AWS (EC2, S3, Glue, Athena, Redshift), Azure Blob Storage, Azure SQL Database, Hadoop, Hive, MapReduce, Apache Airflow, Data Warehousing, ETL, Data Integration, CloudWatch, Snowflake, Redshift, Data Lakes
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Data Science
Statistical Modeling, Predictive Modeling, Time Series Analysis, Hypothesis Testing, ANOVA, Regression Analysis, Exploratory Data Analysis, KPI Reporting, A/B Testing
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Machine Learning & AI
Supervised Learning, Unsupervised Learning, Recommender Systems, Anomaly Detection, Computer Vision, Natural Language Processing (NLP), Deep Learning, TensorFlow, Keras, PyTorch, SciPy, Large Language Models (LLM)
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Data Visualization & Analytics
NumPy, Pandas, Matplotlib, Seaborn, Tableau, Looker, Power BI, DAX
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Database Technologies
MySQL, SQL Server, Oracle, MongoDB, Database Design, Query Optimization, Data Migration, NoSQL Databases, Relational Databases, Data Modeling, Database Administration, Data Governance
Testimonials

