"Risk comes from not knowing what you're doing".....Warren Buffet I am constantly fascinated by the impact of data-driven decisions on routine business. I turn data into insights enabling customers to make better decisions quickly. Experienced Data engineer with strong problem-solving skills, ability to think analytically and tackle complex challenges efficiently. Proficient in handling complex queries using SQL and perform data analysis using Python. Created analytical visualizations using Tableau, PowerBI & Data Studio. Expertise in Data Modeling, end-to-end construction of Data pipelines from complex queries to automate reporting and dashboards using AWS and GCP. Specialties: Data Engineering, Data Warehousing, Big Data Architecture and Governance, Data Visualization, Data Analysis, Statistical Analysis, Predictive Modeling, Business Intelligence, Text Analytics. Technical Skills: Languages: SQL, T-SQL, NoSQL, Python, Java, HTML, Cypher Databases: SQL Server, MySQL, Snowflake, Oracle, PostgreSQL, MongoDB, Neo4j Cloud Platform: GCP (BigQuery, Data Studio, PubSub, Dataflow), AWS (S3, EC2, Glue, Redshift, Lambda) BI Tools: Tableau, Power BI, Einstein Analytics, Talend, Alteryx, SSIS, SAP HANA, BW, BO Big Data Tools: Apache Airflow, Presto, Hadoop, Hive, Spark, Sqoop, Docker, Elasticsearch Other Tools: Terraform, ER/Studio, PyCharm, Advanced Excel, PowerPoint, Toad Data Modeler, JupyterLab, Git Libraries/Frameworks: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras