I hold a master’s degree in Computer Science with more than 3.5 years of IT experience in data engineering, migration, BI report development and ERP systems like NetSuite. Proficient in SQL, PL/SQL, ETL tools (Kettle, SSIS), and databases like PostgreSQL, Oracle, and Redshift. I specialize in designing efficient data pipelines, automating testing, and generating insights using BI tools like Tableau.
My experience includes working with NetSuite to streamline business processes, integrate data seamlessly, and customize workflows to meet organizational needs. I excel in optimizing database strategies, analyzing business logic, and delivering robust support across development, QA, and production environments, ensuring seamless collaboration and high-quality outcomes.
Overview
4
4
years of professional experience
Work History
Data Analyst/Data Engineer
Customer Information System
08.2024 - 12.2025
In this project, I worked as a Data Analyst/Data Engineer on a data migration initiative for a printing company transitioning to NetSuite
My main responsibility was to facilitate the seamless transfer of critical business data from various formats (CSV and XLSX) into NetSuite's ERP system
This involved data extraction, transformation, and loading (ETL), ensuring accurate data mapping and migration from the client's existing files to NetSuite’s database
I also worked on optimizing workflows and ensuring that all data was clean, structured, and ready for use in NetSuite
Extracted data from various file formats (CSV, XLSX) provided by the client and Led the migration of the data into NetSuite, ensuring all entries were correctly mapped to the corresponding fields within the system
Utilized Excel’s lookup functions (VLOOKUP, INDEX-MATCH, etc.) to clean and validate large datasets before migration
Ensured that data from different sheets was properly matched and verified, reducing errors during the migration process
Conducted extensive data validation checks to ensure the integrity and accuracy of migrated data
Worked closely with the client's IT team to address any discrepancies and improve data quality
Managed and organized large datasets in NetSuite’s system post-migration
Ensured that all records were correctly stored and accessible for business processes in the client’s printing company
Developed scripts and automated processes to streamline the import of new data into NetSuite on an ongoing basis
Improved efficiency and reduced manual efforts by setting up automation pipelines for recurring data loads
Worked with cross-functional teams (such as business analysts, IT, and project managers) to define data requirements and align the migration plan
Provided regular updates and status reports on data migration progress, highlighting challenges and solutions implemented
Identified and resolved data discrepancies and issues during the migration process
Provided support and training to client staff to ensure a smooth transition to the new NetSuite system
Data Engineer
Student Information System
06.2023 - 07.2024
The project revolves around the implementation of a university’s student record management, specifically focusing on the transition of data from an unstructured database (Unify) to PostgreSQL (RDBMS)
The objective includes data cleansing, transformation and validation utilizing a blend of manual procedures and automated processes via Pentaho Kettle and PL/SQL scripts
Engaging in requirement gathering sessions with subject matter experts (SMEs) to comprehensively grasp business rules and validation criteria
Analyze data from the source database (Unify) to manage data mapping to the target database (PostgreSQL)
Actively participating in technical design sessions and contributing to various phases of the data migration release plan
Developing intricate transformations and data mapping techniques (utilizing SQL & ETL) from the source to the target database
Creating automated frameworks for maintaining data quality, ensuring data cleanliness, and enhancing data enrichment
Optimize SQL performance to improve the productivity of existing scripts, utilizing tools such as execution plans, tracing, indexing, and tuning techniques
Writing Functions, triggers and queries for implementing business logic at the backend using PostgreSQL
Create and maintain data pipelines and integration processes between source and target
Data Engineer
Hospital Information System
08.2021 - 12.2022
This project revolves around ensuring the accuracy and reliability of data within a Hospital Information System (HIS) through development and validation processes
Leveraging Oracle/MySQL databases, the project aims to uphold data integrity across various modules within the HIS, such as patient records, medical procedures, and inventory management
Build database complex Stored Procedure and Functions to meet business requirements and data workflows
Designed and developed aggregation scripts for reporting
Design and optimize data models and schemas to support efficient data storage, retrieval, and analysis, ensuring scalability and performance
Utilize advanced SQL techniques, including complex and dynamic SQL scripts to design and implement robust solutions
Performed database import and export on dev and stage environment
Employ advanced data profiling techniques to identify anomalies, duplicates, and data quality issues within the hospital's datasets
Proactively identify and resolve any data-related issues encountered during data validation
Data Analyst
Banking Analytics
01.2023 - 06.2023
The Banking Analytics Project is dedicated to enhancing the accuracy, reliability, and effectiveness of tableau reports within the banking system
This involves developing and optimizing BI Reports and analyses in tableau dashboards to support informed decision-making and strategic planning within the banking domain
Involved in business requirements meetings to gather business KPI's and requirement document
Transformed complex business logic into database design and maintaining it by using SQL objects like stored procedures, user defined functions, views and triggers
Involved in creating complex dashboards on tableau and performed advanced analytics to analyze data
Extensively used the concepts of aggregation, blending, parameters, hierarchies, charts, filters, table calculations, trend Lines and calculated measures
Development and deployments of dashboards to tableau server
Testing and validating the generated reports in collaboration with the users
Education
M.Tech -
Punjabi University
11-2016
B.Tech -
Punjabi University
06-2014
Class XII (CBSE) - Science
K.V. NO.2, PATIALA
01-2010
Skills
Programming Languages
SQL
PL/SQL
TSQL
Python
ETL Tools
Pentho Kettle
SSIS
Business Intelligence Tool
Tableau
Power BI
SSRS
Database
PostgreSQL
MS SQL Server
MySQL
Oracle
Sprint Management Tool
Jira
Taiga
Operating System
Windows XP Vista, 7, 8, 10
Version Control Systems
SVN
GIT
Data Quality
Talend Data Quality & TOAD suite
Database Tool
SQL Developer
SSMS
DBeaver
Favourite Tasks
Delivered critical root cause analysis on many production issues.
Automated repetitive tasks to get the best performance.
Client Testimonials
Client appreciated for meeting the deadlines with the quality of work.
Owns assigned tasks from start to finish, exhibiting dedication and accountability to ensure successful completion.
Liz Martinez Real Estate at Customer And Information Services RepresentativesLiz Martinez Real Estate at Customer And Information Services Representatives