Sam Matt Email & Phone Number

Worked with Agile methodology and actively participated in Scrum meetings as a part of SDLC, to produce quality deliverables within time.• Analyze, design, and build Modern data solutions using Azure PaaS service to support visualization of data. Understand current Production state of application and determine the impact of new implementation on existing business processes.• Implemented solutions for ingesting data from various sources and processing the Data-at-Rest utilizing Big Data technologies such as Hadoop, Map Reduce Frameworks, HBase, and Hive.• Involved in Extracting Transforming and Loading data from Sources Systems to Azure Data Storage services using a combination of Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics DataIngestion tmo one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in In Azure Databricks.

Worked with Agile methodology and actively participated in Scrum meetings as a part of SDLC, to produce quality deliverables within time.• Evaluate deep learning algorithms for text summarization using Python, Keras and TensorFlow on Cloudera Hadoop System and Use Spark API for Machine learning and translate a predictive model from SAS code to Spark and used Spark API over Cloudera Hadoop YARN to perform analytics on data in Hive.• Recreating existing application logic and functionality in the Azure Data Lake, Data Factory, SQL Database and SQL data warehouse environment• Exploring with the Spark for improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.• Utilized the Azure polybase utility to run t-sql queries on external data in Hadoop and as well as to import and export data from Azure blob storage.

Gathered business requirements, working closely with business users, project leaders and developers and analyzed the business requirements and designed data models and analyzed existing systems and propose improvements in processes and systems for usage of modern scheduling tools like Airflow and migrating the legacy systems into an Enterprise data lake.• Design and Develop ETL Processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into Snowflake and involve with Data Extraction, aggregations, and consolidation of Adobe data within AWS Glue using PySpark.• Build ETL pipeline end to end from AWS S3 to Key, Value store DynamoDB, and Snowflake Datawarehouse for analytical queries and specifically for cloud data.

Actively Participated in grooming to discuss/ understand the requirements from the business people. Estimated hours for the Requirements and allocated hours in the sprint planning, acted as scrum master role for this Project.• Managed small sized off shore team and assigning/gathering task status and update to the client manager in daily scrum calls.• Created and Modified tables, views, Indexes, Functions, Stored Procedures, cursors in SQL Server 2012.• Written the complex queries using joints, Sub-queries, common table expressions (CTE) in T-SQL-2012.• Experienced in writing Dynamic T-SQL in stored procedures.• Created And Managed production/ Configuration tables using deployment scripts

Involved in requirements analysis, and designing of UML diagrams (Use Case diagrams, Class diagrams and Sequence diagrams) using Rational Rose 4.0.• Collaborated in analyzing business requirements and understanding the functional work flow of information from source systems to destination systems.• Expertise in Always-On Availability Groups (AAG) and HA/DR Setup and Configuration• Migrated SQL server 2005 to SQL Server 2008 in Microsoft Windows Server 2008 Enterprise Edition.• Installed and administered Eight-Node cluster Active/Passive on Microsoft Windows Server 208 Enterprise Edition on SAN environment.• Migrated SSIS packages from SQL Server 2005 to SSIS 2008.