• 😄 My pronouns are: He/His/Him
• 🔭 I’m currently working as a Data Engineer - Graduate Assistant at University of South Florida
• About me:

  • Data-Driven Problem Solver with Expertise in Data Pipelines, Scalable Infrastructure, and Cloud Computing

  • A seasoned data professional with over four years of experience harnessing the power of data to drive business growth and optimize operations. Proven expertise in designing, building, and maintaining data pipelines, ensuring seamless data flow from disparate sources to centralized repositories. Adept at leveraging cloud computing platforms to create scalable and cost-effective data infrastructure.

  • Possesses a strong foundation in data warehousing, data lakes, and cloud computing platforms, including AWS, Azure, and GCP. Proficient in utilizing various programming languages, such as Python, Java, C#, and R, to extract, transform, and load (ETL/ELT) data.

  • Passionately driven by the transformative potential of data to solve real-world problems and make informed decisions. Demonstrates a keen eye for identifying valuable patterns and trends within complex datasets.

  • Experienced in collaborating with cross-functional teams, including data scientists, business analysts, and software engineers, to achieve organizational goals. Effectively communicates technical concepts to non-technical stakeholders, ensuring alignment and understanding.

  • Eager to contribute to projects that utilize data to improve people's lives and make a positive impact on society.

  • Available for internship and full-time roles, including remote positions.

🎓 Education:

• MS in Business Aanalytics and Information Systems from University of South Florida | Muma College of Business. Specialized in Analytics and Business Intelligence.
• BE in Computer Technology from Mumbai University | Vivekanand Education Society's Institute of Technology.

🚀 Professional Experience:

• Data Engineer - Graduate Assistant at University of South Florida.
• Software Engineer - Data Engineering at Accenture.
• Business Intelligence Engineer Intern at Suven Consultants.

🔧 Technical Stack:

• Languages: Python, R, C#, Java, C++, JavaScript, Angular, HTML/CSS, Scala, PySpark
• Databases: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra, BigQuery
• ETL/Big Data: Apache Kafka, Informatica, Apache Hadoop, Apache Airflow, MapReduce, Databricks, ElasticSearch, SSIS
• Cloud /DevOps: Linux, Jenkins, Docker, Kubernetes, Google Cloud Platform, AWS, Microsoft Azure
• Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake, ETL, Data Modeling, Data Pipeline
• Framework and Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, NLTK, PyTorch, Tensorflow and Keras
• Tools and Services: Tableau, Power BI, Postman, Git, Jira, SAS