๐ก Expertise:
In my journey as a Big Data Engineer, I have honed my skills in:
๐น Big Data Technologies: I have a strong command over Hadoop, Spark and their ecosystems. I specialize in building scalable data pipelines, processing large datasets, and optimizing performance for efficient data processing.
๐น Programming Languages: I am proficient in Python, SQL and Spark, using them to develop data-centric applications, perform data analysis, and build machine learning models.
๐น Data Warehousing: I have hands-on experience with data warehousing principles, including data modeling, ETL (Extract, Transform, Load) processes, and dimensional modeling. I am well-versed in designing and implementing data warehouses for improved data accessibility and reporting.
๐น Database Management: I have a strong grasp of SQL and have worked extensively with both relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). I excel at writing complex queries, optimizing database performance, and ensuring data integrity.
๐น Cloud Platforms: I am adept at working with cloud-based environments, particularly on AWS and Azure.
๐น Data Visualization: I possess a keen eye for visualizing data insights and effectively communicating complex findings to stakeholders. I am skilled in using tools like Tableau and Power BI to create intuitive dashboards and reports.
๐งโ๐ป Programming Languages:
Python | SQL | Spark
โ๏ธ Distributed Framework:
Spark | Hadoop | Hive | Kafka | Sqoop
๐พ Databases:
MySQL | MongoDB | Cassandra | HBase
๐งฌ Version Control:
Git | DVC
โฐ Workflow Management:
Airflow | Mage
โ๏ธ AWS Services:
S3 | EC2 | EMR | RDS | Redshift | Glue | CloudWatch |
ECS
โ๏ธ Azure Services:
Data Factory | Databricks | Functions | Blob | Synapse
| Delta Lake
๐ MLOps:
Docker | Docker Compose | GitHub Actions | MLflow
๐ช ML Frameworks:
Pandas | Numpy | Sklearn | PySpark | Pytorch |
Matplotlib | Seaborn | TFX