Geetha Donald

Data Engineer

Tamil Nadu, India 3+ yrs exp 87 · Excellent

About

Data Engineering Professional with 3+ years of experience in Data Analysis, Data Validation, Data Processing, and Data Quality Management. Strong expertise in SQL, Python, Snowflake, AWS, ETL/ELT Processing, and Data Warehousing concepts. Experienced in designing and supporting data ingestion, transformation, cleansing, reconciliation, and reporting workflows for business analytics. Skilled in working with structured and semi-structured datasets, performing data profiling, quality checks, and source-to-target validation to ensure data accuracy and consistency. Proficient in Snowflake Data Warehouse, AWS Cloud Services, Data Modeling, and Data Integration. Hands-on experience in developing SQL queries, Python-based automation scripts, and data quality frameworks to improve operational efficiency. Strong understanding of Data Governance, Metadata Management, and Performance Optimization. Adept at collaborating with cross-functional teams in Agile environments to deliver scalable, reliable, and business-driven data solutions.

Skills & Expertise (55)

Snowflake Data Warehouse Advanced

8.0/10

Years Exp

ETL Development Intermediate

7.8/10

Years Exp

Data Engineering Intermediate

7.8/10

Years Exp

Data Pipeline Development Intermediate

7.8/10

Years Exp

SQL programming Intermediate

7.5/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Python Development Intermediate

7.5/10

Years Exp

AWS Cloud Services Intermediate

7.5/10

Years Exp

AWS IAM Intermediate

7.0/10

Years Exp

Attention to Detail Intermediate

7.0/10

Years Exp

Query Optimization Intermediate

7.0/10

Years Exp

Performance Tuning Intermediate

7.0/10

Years Exp

Amazon S3 Intermediate

7.0/10

Years Exp

AWS Lambda Intermediate

7.0/10

Years Exp

AWS Glue Intermediate

7.0/10

Years Exp

Adaptability Intermediate

7.0/10

Years Exp

AWS CloudWatch Intermediate

7.0/10

Years Exp

EC2 Intermediate

7.0/10

Years Exp

Analytical Thinking Intermediate

7.0/10

Years Exp

Problem Solving Intermediate

7.0/10

Years Exp

Communication Skills Intermediate

7.0/10

Years Exp

Team Collaboration Intermediate

7.0/10

Years Exp

Time management Intermediate

7.0/10

Years Exp

Data Integration Intermediate

7.0/10

Years Exp

Data Modeling Intermediate

7.0/10

Years Exp

Data Quality & Validation Intermediate

7.0/10

Years Exp

Data Reconciliation Intermediate

7.0/10

Years Exp

Performance Optimization Intermediate

7.0/10

Years Exp

Pandas Intermediate

6.5/10

Years Exp

Data Governance Intermediate

6.5/10

Years Exp

Production support Intermediate

6.5/10

Years Exp

Fact & Dimension Modeling Intermediate

6.5/10

Years Exp

Snowflake Schema Intermediate

6.5/10

Years Exp

Star Schema Intermediate

6.5/10

Years Exp

PySpark Intermediate

6.5/10

Years Exp

NumPy Intermediate

6.5/10

Years Exp

Workflow Orchestration Intermediate

6.5/10

Years Exp

Data Migration Intermediate

6.5/10

Years Exp

Workflow Automation Intermediate

6.5/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

Shell Scripting Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Postgresql Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

Jira Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

LINUX Intermediate

6.0/10

Years Exp

UNIX Intermediate

6.0/10

Years Exp

XML Intermediate

6.0/10

Years Exp

JSON Intermediate

6.0/10

Years Exp

REST APIs Intermediate

6.0/10

Years Exp

SQL Server Intermediate

6.0/10

Years Exp

Oracle Intermediate

6.0/10

Years Exp

Snowflake

Work Experience

Data Engineer / Data Analyst

KPIT Technologies

Jan 2023 - Present

Developed and maintained ETL/ELT pipelines for processing data from multiple business systems. Designed and implemented data ingestion and transformation workflows. Developed SQL queries for data extraction, validation, reconciliation, and reporting. Worked with Snowflake for data storage, transformation, and analytics requirements. Performed source-to-target validation and data quality checks. Automated data processing and validation tasks using Python scripts. Utilized AWS services such as S3, Lambda, and Glue for cloud-based data processing. Performed query optimization and performance tuning activities. Supported production issues, root cause analysis, and data reconciliation activities. Collaborated with cross-functional teams to deliver scalable data solutions. Participated in Agile ceremonies and project deliveries.