Kannaraj Sadula
Cumming,Georgia
Summary
Results-driven data professional with keen eye for detail and passion for uncovering actionable insights from data. Proven track record of utilizing data analysis and visualization tools to drive business decisions and optimize processes. Team-oriented with strong focus on collaboration and adaptability, consistently delivering reliable results in dynamic environments.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Data Analyst
Staples
01.2024 - 11.2024
- Conducted analytical assessments for Staples campaigns utilizing statistical approaches.
- Used Python,Snowflake and SQL for Data Extraction,Data processing and Data Integration.
- Building Dashboards for Data Analysis and Insights for the business stakeholders using Tableau.
- Presenting it to the Management on regular basis measuring the Marketing Campaign performance effectiveness.
- Responsible for running the Internal process triggers on weekly basis and measuring KPI for data analysis.
- Worked with Data Scientists to understand the models like churn, product recommendations, cross sell etc. and apply them in the analysis with the help of python.
- Lead the team during the cross-training and coordinated on daily basis for the work status and deliverables.
Data Analyst
TIAA Bank
06.2022 - 01.2024
- Collaborated with Business Analysts, SMEs across departments to gather business requirements, and identify workable items for further development.
- Worked on data migration projects from Hadoop to Snowflake, MySQL to Snowflake.
- Worked on Data virtualization tools like Dremio,Starburst
- Worked on Domino data platform tools.
- Well versed with big data on AWS cloud services i.e., EC2, S3, Glue, Athena, DynamoDB and RedShift.
- Worked with multiple storage formats (Avro, Parquet) and database (Hive).
- Responsible for maintaining and handling data inbound and outbound requests through big data platform in S3.
- Worked extensively on AWS Components such as Elastic Map Reduce (EMR), Elastic Compute Cloud (EC2), Simple Storage Service (S3)
- Migrated batch data from on-premises databases to AWS S3 buckets.
- Developed a python script to hit REST API's and transfer data from on-premises data to AWS S3
- Selected and generated data into csv files and stored them into AWS S3 by using AWS EC2 and then structured and stored in AWS Redshift.
- Built S3 buckets and managed policies for S3 buckets and used S3 bucket and Glacier for storage and backup on AWS.
- Identified and Prepared the plan for Data migration to AWS cloud using AWS Schema conversion tool, Database Migration service (DMS), Glue, Data pipeline to new Enterprise Data Lake (AWS) that will replace current Teradata/Oracle data warehouses
- Involved in building data lake on AWS by doing various tasks like setting up AWS step functions for data migration pipelines from SQL server to S3 bucket, converting json, text and csv based raw files into AWS s3.
- Used PySpark and Pandas to calculate the moving average and RSI score of the stocks and generated them into data warehouse.
- Worked on Ingesting data by going through cleansing and transformations and leveraging AWS Lambda, AWS Glue, and Step Functions.
- Exploring with Spark to improve the performance and optimization of the existing algorithms in Hadoop using Spark context, Spark-SQL, PostgreSQL, Data Frame, OpenShift, Talend, pair RDD's.
- Performed data pre-processing and feature engineering for further predictive analytics using Python Pandas.
- Developed predictive analytics reports using Python and Tableau.
Education
Master of Science - Information Technology
Kennesaw State University
Kennesaw, GA05-2022
Skills
- Data visualization and presentations
- Data analysis
- Python programming
- SQL
- Data cleaning
- SQL databases
- Analytical problem solving
- Tableau software
- Reporting tools
- Project management
- Machine learning
- Git
- Data quality assurance processes
Certification
- AWS Certified Cloud Practitioner
- LinkedIn: Apache Spark Essential Training: Big Data LinkedIn data Engineering Foundation
- Coursera- Python Data Structures Coursera- Python for Everybody
- ISTQB FL Certified Tester.
Languages
English
Full Professional
Timeline
Data Analyst
Staples
01.2024 - 11.2024
Data Analyst
TIAA Bank
06.2022 - 01.2024
- AWS Certified Cloud Practitioner
- LinkedIn: Apache Spark Essential Training: Big Data LinkedIn data Engineering Foundation
- Coursera- Python Data Structures Coursera- Python for Everybody
- ISTQB FL Certified Tester.
Master of Science - Information Technology
Kennesaw State University
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