---------------------- AREA OF INTEREST ---------------------- 1. Data Engineering & Cloud 2. Machine Learning & Analytics 3. Deep Learning 4. Critical Problem Solving --------------------- TECHNICAL SKILLS --------------------- ✓ Languages: Python, Java, C ✓ Cloud Technologies: Microsoft Azure, AWS, GCP, Databricks, Snowflake ✓ AWS: EC2, Kinesis, EMR, Quick Sight, Sagemaker, S3, Redshift, Glue, Athena ✓ AZURE: ML Designer, Notebook, Azure Data Factory, Azure Synapse Analytics ✓ Databases: MySQL, SSMS, MongoDB, Oracle, Azure SQL DB, Postgre SQL ✓ File Formats: JSON, CSV, XML, No SQL ✓ Query Languages: SQL, Prolog, Spark SQL ✓ Big Data: Apache Spark, Hadoop, Map Reduce, Apache Airflow, HDFS, PySpark ✓ ETL: Informatica, SSIS, DOMO, Azure, AWS, Hybrid Clouds ✓ CI / CD: Git , Jenkins, Bit Bucket ✓ Project Management: Agile, Scrum, JIRA ✓ Visualization: Tableau, Power BI, DOMO ✓ IDE Tools: Pycharm, Intellij, Toad for Oracle, Spyder, Eclipse, Jupyter Notebook, Google Colab, Kaggle