Akhil Katta's Linkedin Analytics

As a results-driven and forward-thinking technology professional, I bring a wealth of experience in data engineering, data analytics, and technology consulting. With a Master's in Information Systems Management from Carnegie Mellon University, I've honed my skills in Python, Java, SQL, and an array of cutting-edge tools like AWS, Azure and Power BI In my current role as a Staff Technology Consultant at Ernst & Young, I lead enterprise-level data warehousing projects, orchestrating robust ETL workflows, implementing efficient data transformations with Apache Spark and Python, and designing optimized database schemas in Amazon Redshift. My expertise extends to market research, statistical analysis, and AI, having led a retail market research project and built an Azure Open AI chatbot for over 3000 EY employees. Before EY, I served as a Cloud Associate at Oracle, contributing to dynamic Power BI visualizations, conducting extensive exploratory data analysis, and implementing data mining techniques for strategic decision-making. Skills: Programming Skills: SQL, Python, R, Java, JavaScript, HTML/CSS Frameworks and Cloud Tools: AWS API Gateway | AWS Lambda | AWS S3 | AWS Kinesis FireHose | AWS Step Function | AWS Glue | SQS | CloudWatch | Azure Data Factory | Azure Function App | Azure Synapse | Azure Datalake | Azure Databricks | Jupyter Notebook | Kafka | IAM | boto3 | dbt | Apache Airflow | Theoretical Knowledge: ETL/ELT | SQL Server | Power BI | Data science | Visualization | Gen AI | SSIS | Big data | Spark | Data Pipeline | REST API | Snowflake | A/B testing | ML | Flask | NumPy | Pandas | Scikit-learn | KNN| Naïve Bayes | Git | Tech Skills: Data Warehousing, Data Analysis and Visualization, Data Mining, Machine Learning, Big Data I thrive on leveraging data to drive actionable insights and have a proven track record of improving decision-making accuracy, enhancing customer satisfaction, and streamlining reporting workflows. Let's connect to explore how my skills and experience as a data engineer can contribute to innovative solutions in the realms of data analytics and technology consulting