Open to opportunities

Monica
Sherley

Data Engineer building scalable ETL/ELT pipelines and cloud data warehouse solutions using DBT, AWS, GCP, Snowflake & BigQuery.

View my work
2+
Years experience
50GB
Daily data processed
30+
DBT models built
10+
Dashboards delivered
About me
Turning raw data into
reliable infrastructure.

I'm a Data Engineer with 2+ years of experience designing, building, and maintaining scalable ETL/ELT data pipelines and cloud data warehouse solutions.

My work spans the full data lifecycle — from ingestion and transformation to orchestration and reporting across cross-functional teams.

Skilled in data modelling, quality management, and pipeline automation with hands-on experience in Snowflake and BigQuery. I translate complex business requirements into reliable, analytics-ready data infrastructure.

⚡
Pipeline Automation
AWS Step Functions · Amazon ECS · Terraform IaC
☁
Cloud Data Warehousing
Snowflake · BigQuery · GCP · AWS S3
🔄
ELT Transformation
DBT · SQL · Materialized Views · Data Modelling
📊
Data Visualisation
Sigma Computing · Power BI · Custom Dashboards
Experience
Where I've worked
Data Engineer
Sep 2023 – Present
Softborne Technology Solutions Pte. Ltd · Chennai
Project: OWL  ·  Feb 2025 – Present
  • Designed and maintained scalable data pipelines processing up to 50 GB of data daily, ingesting from external sources into PostgreSQL using Sourcerer.
  • Built and managed 30+ DBT models to perform SQL-based ELT transformations, generating materialized views and analytics-ready datasets for business stakeholders.
  • Performed data cleaning, pre-processing, and quality checks on raw web-scraped data to ensure schema consistency and downstream reliability.
  • Orchestrated end-to-end pipeline execution using AWS Step Functions with Amazon ECS, eliminating manual intervention entirely.
  • Provisioned and managed cloud infrastructure on AWS using Terraform (IaC), enabling version-controlled, reproducible deployments of Airbyte, ECS tasks, and supporting services.
Project: Sound Commerce  ·  Sep 2023 – Jan 2025
  • Developed and maintained API connectors for multi-source data ingestion into Apache Kafka and Google Cloud Storage, enabling reliable, real-time data flow into a centralised data warehouse.
  • Designed and implemented data mappings and ELT transformations to align source data with target schemas, improving query accuracy across 10+ destination tables.
  • Automated data validation and quality checks across all ingestion workflows, reducing pipeline errors and ensuring consistent data integrity.
  • Built 10+ custom dashboards and materialized views in Sigma Computing, enabling direct client access to processed data.
  • Collaborated with cross-functional stakeholders to gather data requirements and deliver scalable reporting solutions aligned with business objectives.
Data Science Intern
Jan 2023 – Apr 2023
Menmozhi Technologies · Bangalore
  • Applied Python and ML algorithms (K-Means, Logistic Regression, Decision Tree) to analyse historical customer data, improving retention by 15% and upselling revenue by 10%.
  • Improved model accuracy through structured data cleaning, feature engineering, and preparation pipelines.
Technical skills
Tools & technologies
🔧
Data engineering
ETL/ELT Automation Data Ingestion Airbyte Pipeline Development Data Mapping
☁
Cloud & warehousing
Snowflake Google BigQuery AWS GCP Step Functions ECS S3 Terraform
💻
Programming
Python SQL PostgreSQL
🔄
Transformation
DBT Data Modelling Materialized Views
✅
Data quality
Data Validation Quality Checks Schema Management Data Integrity
📊
Visualisation
Sigma Computing Power BI
🤝
Collaboration
Git GitHub Jira Confluence
🤖
Machine learning
K-Means Clustering Logistic Regression Decision Tree
Education
Academic background
Master of Science in Data Science
St. Joseph's College (Autonomous), Tiruchirappalli
Aug 2021 – Apr 2023
Bachelor of Science in Information Technology
Bon Secours College for Women, Thanjavur
Jun 2018 – Apr 2021
Certifications
◆ MySQL for Data Analytics & Business Intelligence
◆ Google Data Analytics
◆ SQL (Basic & Intermediate) — HackerRank
◆ BigQuery for Big Data Engineers
◆ Data Visualization: Empowering Business with Effective Insight
◆ Microsoft Power BI Desktop for Business Intelligence
◆ Snowflake
◆ Develop LLM powered AI agents with LangGraph