I'm a Data Engineer with a passion for harnessing the power of data to drive meaningful insights and impactful solutions. With over 3.5 years of experience, I specialize in designing, developing, and maintaining end-to-end data pipelines and architectures, empowering businesses to make effective, data-driven decisions.
I see data as more than just numbers – it's a powerful force that can unlock a world of possibilities and make a significant difference. I'm continually on the lookout for opportunities to contribute to data-centric projects that tackle real-world challenges and create a positive impact.
Currently pursuing a Master of Science in Information Systems at Northeastern University to further expand my knowledge and stay at the forefront of the ever-evolving data landscape. I'm also delving deeper into advanced concepts in data engineering and machine learning, keeping pace with the latest trends in the Data & AI space.
- Programming Languages: Python, SQL (MySQL, PostgreSQL, SQL Server, MongoDB), R, Java, Bash
- Data Warehousing & ETL: Snowflake, Redshift, AWS Glue, Azure Data Factory, Talend, Prefect, Airflow, DBT
- Cloud & Big Data Technologies: AWS (S3, EC2, Lambda), Azure Blob, Hadoop, Hive, Kafka, Spark, Databricks
- Data Analytics & Visualization: Pandas, NumPy, Scikit-learn, NLTK, PyTorch, Matplotlib, Alteryx, Tableau, Power BI
- DevOps & Other Tools: Docker, Kubernetes, Jenkins, Git, Jira, ER/Studio, LlamaIndex, LangChain, Terraform
When I'm not deep-diving into data, you can find me brewing the perfect cup of coffee, capturing stunning landscapes through my lens, or planning my next travel adventure.
Feel free to explore my projects, check out my LinkedIn profile, or reach out to me if you have any questions or would like to collaborate on data-driven projects.
I am eager to connect with other data enthusiasts, learn from the community, and contribute to impactful data engineering and analytics projects. Together, we can harness the transformative power of data and drive meaningful change! 🚀