🌟 About MeData Professional with experience in data engineering, data science, and advanced analytics. My expertise includes building and optimizing scalable ETL pipelines, data warehousing solutions, predictive modeling, data mining, and a comprehensive AI/ML algorithms suite. Proficient in leveraging cutting-edge technologies like AWS, Azure, and GCP to design and implement robust data architectures. Skilled in using powerful analytics tools such as Tableau, Power BI, and SAS to create and implement data-driven solutions across various industries.🛠 Technical ProficiencyProgramming: Python, R, Java, SQL, JavaScript, HTML/CSS, Unix/Linux, C.Database: MySQL, SQLite, MongoDB, Oracle, PostgreSQL, DynamoDB, SQL Server, Snowflake.Cloud Technology: Azure (Synapse Analytics, Logic Apps, Blob Storage, Data Factory, SQL, Analytics Services, Databricks), AWS (S3, EC2, Lambda, SageMaker, CodeBuild, CodePipeline, CloudWatch, Redshift), GCP (Data Fusion, Dataproc, BigQuery).Big Data: Apache Spark, Kafka, Airflow, NiFi, Flink, Hive, Druid, Hadoop, PySpark.AI/ML Libraries: Pytorch, Pandas, NumPy, Dplyr, Scikit-learn, TensorFlow, Seaborn, Keras, NLTK.Tools/Technology: Power BI, Tableau, Jenkins, Git, Docker, Postman, JIRA.🚀 I'm always eager to explore innovative solutions and contribute to cutting-edge technology. Passionate about continuous learning in emerging software technologies. 🤝 Let's connect and collaborate on future endeavors!