I need to interview this person for a databricks position and need to ask about his understanding and general knowledge based on his experience. Can you help with some easy and harder questions , please. We especially want some Unity Catalog understanding.

His resume: "1
Resume of Besong
 
Summary:
• AWS professional with 9+ years of Industry experience. A full stack AWS Engineer with focus 
on building Data pipelines and Analytics Applications on AWS platform with a strong 
background on Platform engineering and DevOps. 
• Proficient in storage, compute and networking services with implementation experience in 
data engineering using key AWS services such as VPC, EC2, S3, ELB, AutoScalingGroup(ASG), 
EBS, RDS, IAM, EFS, CloudFormation, Redshift, DynamoDB, Glue, Lambda, Step Functions, 
Kinesis, Route 53, CloudWatch, CloudFront, CloudTrail, SQS,SNS, SES, AWS Systems 
Manager etc.
• Highly skilled in deployment, data security and troubleshooting of the applications in AWS.
• Experienced in working in variety of DevOps tools in mixed environments of Linux and 
windows servers in Amazon Web Services. 
• Experienced with event-driven and scheduled AWS Lambda functions to trigger events in 
variety of AWS resources using boto3 modules.
• Highly result driven, quality and craftmanship focused with good interpersonal skills, linear 
problem-solving skills, self-motivated, fast learner, good team player.
Technical Skills:
Big Data Ecosystem: HDFS, Sqoop, Hive, Pig, MapReduce, YARN, Spark, PySpark 
Hadoop 
Distributions
Amazon EMR, Hortonworks, Cloudera 
Dimensional Data 
Modeling 
Dimensional Data Modeling, Star Schema Modeling, Snowflake Modeling, 
FACT and Dimensions Tables, Physical and Logical Data Modeling. 
Programming SQL, PL/SQL, Unix Shell Scripting, Python 
Databases & 
NOSQL Databases
Microsoft SQL Server,Oracle, MYSQL, RDS , Dynamo DB,Postgres
Reporting tools Quicksight, MS PowerBI, Athena
Development 
Methodologies:
Agile/Scrum, Waterfall 
2
Resume of Besong Tabenyang 
AWS Services S3, Kinesis, Dynamo DB, Redshift, Athena, IAM, Lambda, GLUE, SQS, Cloud 
Watch, CDN, Cloud Formation, Elastic Beanstalk, CICD etc 
Versioning Tools GitHub 
Professional Summary:
Dallas, TX Jan’23 to present
Employer – Deloitte Consulting
Responsibilities: 
 Collaborated with development teams to optimized SQL queries, schema design, and 
application performance to leverage Postgres features effectively and enhance system 
performance.
 Actively monitored Postgres resource usage, identified growth patterns, and implemented 
scaling strategies such as sharding or clustering for handling increased workloads.
 Leveraged Oracle SQL and DDL scripts to make changes to different environments for the 
design and development of the client’s Oracle database from a mainframe database (ETL).
 Maintained documentation of database configurations, procedures, and best practices to 
facilitate knowledge sharing and ensure consistency in database management across teams.
 Made hundreds of changes weekly in Erwin data modeler using bulk editor for future database 
design and used Erwin for automated scripts when possible.
 Became the lead Postgresql Database Administrator for a state project after only a few 
months as I was able to communicate with the client the best and handle all incoming 
database changes the quickest.
Dallas, TX Dec'21 to Dec'22
Employer – Worldlink-US 
Responsibilities: 
 Meet with the Scrum Master and Product owners each sprint to refine the Backlog user-stories 
to estimate and prioritize.
 Translate the functional requirement document into technical design documents.
 Responsible for provisioning key AWS Cloud services and configure them for scalability, 
flexibility and cost optimization
3
Resume of Besong Tabenyang 
 Built Cloud data stores in S3 storage with logical layers built for Raw, Curated and 
transformed data management 
 Created data ingestion modules using AWS Glue for loading data in various layers in S3 and 
reporting using Athena and Quicksight 
 Created & managed bucket policies and lifecycle for S3 storage as per organization’s and 
compliance guidelines 
 Created parameters and SSM documents using AWS Systems Manager 
Dallas, TX July'18 to Dec'21
Employer – Cognizant
Responsibilities: 
 Work with business analysts and users in collecting the user requirements and defining the 
requirements document. 
 Build Glue Jobs for technical data cleansing such as deduplication, NULL value imputation and 
other redundant column removal. Also build Glue jobs to build standard data transformations 
(date/string and Math operations) and Business transformations required by business users 
 Create Athena data sources on S3 buckets for adhoc querying and business dashboarding 
using Quicksight and Tableau reporting tools 
 Copy Fact/Dimension and aggregate output from S3 to Redshift for Historical data analysis 
using Tableau and Quicksight 
 Use Lambda functions and Step Functions to trigger Glue Jobs and orchestrate the data 
pipeline 
 Use PyCharm IDE for Python/PySpark development and Git for version control and repository 
management 
Data Acquisition – Ambler, NJ Mar’15 to June’18 
Employer – Honeywell 
Responsibilities: 
 Participated on project scoping exercises and creating requirement document and source to 
target mapping 
 Participated in designing the Ingestion framework for History and Incremental load into 
Hadoop file system and hive 
 Built data ingestion modules with Sqoop and shell scripts 
 Performed complex business transformations using both spark sql and Spark APIs and saved 
final dataset in partitioned Hive tables 
 Developed ETL data pipeline using Spark API to fetch data from Legacy system (SQL Server) 
and third-party APIs (External data) 
 Migrated SQL Server packages into Spark transformations using Spark RDDs and Data Frames 
 Worked on Data lake Staging, conformed and Reporting layers and building the data pipeline 
from ingest to consumption 
 Created Fact and Dimension tables and summary tables for Reporting consumption 
4
Resume of Besong Tabenyang 
 Developed and designed POCs using PySpark and Hive and deployed on the YARN cluster, 
compared the performance of Spark with SQL Server modules 
 Improved runtime performance of Spark applications with YARN queue management and 
Memory tuning 
 Performed Unit testing and end to end application testing with data validation 
 Used PyCharm IDE, spark CLI for development and managed code repository in Git 
 Performed Hive Query performance tuning and helped end users with Reports 
 Used Impala query engine for Reports serving in Tableau 
Environment: Hadoop, Data Lake, Python, PySpark, Spark 
SQL, Hive, Impala, PyCharm, GIT Repository, Cloudera CDH, UNIX Shell Scripting, SQL server, AWS, 
S3, EMR
Academic Background
Degree Name Institute Name Time Place 
B.S in Biology University of Texas at San Antonio 2015 -2020 San Antonio, TX, USA 
Honors: President’s List, Dean’s List"