
Results-driven Software Engineer with expertise in Python, data analysis, and machine learning. Developed automation solutions reducing workloads by 60%, and implemented data pipelines achieving over 95% success.
Programming languages: Python, SQL, Shell scripting
Big data technologies: PySpark, Spark, Kafka, SnowSQL
Database management: MySQL, SQL Server, PostgreSQL, Snowflake, MongoDB
Workflow orchestration: Airflow
Machine learning techniques: Supervised learning, KNNs, Random forests, XGBoost, Linear regression, Decision trees
Cloud services:
AWS: Lambda, AWS Glue, Athena, Redshift, EMR, EC2, S3
Azure: Azure Data Factory, Databricks, Blob storage, Azure Data Lake
GCP: Composer, BigQuery, Cloud Storage (GCS), Spanner, Dataflow, Dataproc
Development environments: Databricks, Visual Studio Code, PyCharm, DBT, Anaconda, IntelliJ
Data visualization tools: Tableau, Power BI
Python libraries: NumPy, Pandas, Matplotlib, BeautifulSoup, Scikit-learn