Samson Akula

• Competent professional with over 9 years of industrial experience focusing on big data analysis, including data mining, statistical inference, A/B testing, machine learning, and data visualization. • Strong background in ETL data pipelines, data governance, and risk analysis. • Expertise in Informatica MDM Hub installation and configuration on Windows, and proficient with Ab Initio for Batch and Continuous flows. • Deep understanding of Spark and MPP architectures, with hands-on experience in Spark Core, SQL, Data Frames, Streaming, and cluster management. • Skilled in SQL (MySQL, MS SQL Server), writing stored procedures, triggers, and complex queries. • Experienced with various Hadoop distributions (Cloudera, Hortonworks, Map R, Amazon EMR) and migration to Snowflake. • Proficient in querying data using SparkSQL, and hands-on experience with GCP services (Dataproc, GCS, BigQuery, Cloud functions). • Expertise in data analysis and modeling using SQL, Numpy, Pandas, Scikit-learn, Spark, and Hive. • Managed clusters and provisioning using Hadoop administration tools and Cloudera Manager. • Developed Python scripts for end-to-end data science projects, covering data acquisition, cleaning, exploration, and modeling with Pandas and Sklearn. • Solid experience in Snowflake Multi-Cluster Warehouses and using Terraform for GCP modules. • Strong statistical analysis skills in R and Python, including hypothesis testing and A/B tests. • Experienced in ETL methodologies with Ab Initio, converting Hive queries to Spark transformations using Spark RDDs and Scala. • Hands-on experience with NoSQL databases (Hive, Cassandra) and Apache Airflow for ETL and data processing pipelines. • Extensive work with cloud platforms like AWS, Azure, and Google Cloud, including building and automating pipelines. • Effective team player with excellent communication, presentation, and time management skills.