Karishma Khanna — Data Engineer
I’m a data-driven problem solver with 4+ years of experience transforming raw data into scalable, actionable solutions using Python, SQL, AWS, Azure, and Databricks. My background spans Data Engineering, Data Science, Business Intelligence, and AI/ML — enabling me to support end-to-end delivery from ingestion to insight. What I bring: 1. Scalable pipelines on AWS & Azure (Redshift, S3, Glue, ADF, Synapse) 2. Predictive modeling using Python (XGBoost, LightGBM) 3. Business analysis, stakeholder delivery, and visual storytelling (PoweBI, Tableau, Excel) 4. CI/CD automation, Airflow orchestration, and cloud cost optimization 5. Agile delivery using JIRA and Confluence I’ve worked across Pharmaceuticals, Retail, and F&B — always focused on turning complexity into clarity and enabling data-backed decision-making.
Stackforce AI infers this person is a Data Engineering and AI/ML specialist in the SaaS industry.
Location: Sydney, New South Wales, Australia
Experience: 4 yrs 1 mo
Career Highlights
- 4+ years of experience in data-driven solutions.
- Expert in scalable data pipelines on AWS and Azure.
- Strong background in Data Engineering and AI/ML.
Work Experience
Hays
Data Engineer (7 mos)
High End
Data Science Intern (4 mos)
Accenture
Data Engineering Senior Analyst (11 mos)
Data Engineer (7 mos)
Knowledge Lens
Big Data Engineer (2 yrs 4 mos)
Education
Master's degree at Deakin University
Post Diploma at Centre for Development of Advanced Computing (C-DAC)
Bachelor’s Degree at Amity School of Engineering and Technology
