Hi, I’m Aishwary Joshi, a data engineer and business analyst with experience in transforming data into actionable insights. I specialize in building scalable data infrastructure and creating impactful visualizations that drive business growth. With expertise in cloud platforms like AWS and GCP, I focus on solving real-world problems through data analytics and automation.
- Programming Languages: Python, SQL, Terraform, TypeScript, Scala
- Technologies: AWS (S3, Lambda, Athena, Glue, DynamoDB, Redshift), GCP (BigQuery, Dataproc, Cloud Storage), Docker, PySpark, MongoDB, HDFS
- Data Visualization: Tableau, PowerBI, Looker, Matplotlib
- Developer Tools: Git, Jupyter Notebook, VS Code
- Analyzed large datasets from Kaggle to find correlations between video game sales and Steam traffic. Developed a data pipeline using AWS Lambda, Glue, and S3 for data processing and transformation.
- Technologies used: Python, AWS Lambda, AWS Glue, AWS S3
- Created an ETL pipeline to collect and analyze historical gold price data, along with news sentiment analysis. Developed a trading model based on statistical analysis and word clouds.
- Technologies used: AWS S3, Python, Statistics, API Development
- Built trade analytics dashboards for a multinational investment bank using GCP BigQuery and Looker. Implemented distributed data processing and optimized storage using partitioning and clustering techniques.
- Technologies used: GCP BigQuery, Looker, PySpark, HDFS
- AWS Certified Cloud Practitioner
- Master Data Engineering using GCP Data Analytics (Udemy)
- Spark and Python for Big Data with PySpark (Udemy)
Feel free to explore my repositories and reach out to discuss any opportunities for collaboration!