Hello, I'm
JankiRana
AWS Certified | ETL Developer | Cloud Architect
AWS Certified Cloud Architect & ETL Developer. Building scalable cloud infrastructure and data pipelines with Terraform, Kubernetes & AWS.
01. About
About Me
Results-driven Cloud & Data Engineer with 3+ years of ETL experience at Infosys and TCS, and hands-on cloud expertise using AWS, Azure, Terraform, and Kubernetes. AWS Certified Solutions Architect and Azure Data Engineer Associate. Passionate about designing scalable, automated cloud infrastructure and high-performance data pipelines.
Based in Ontario, Canada, I bring a unique combination of cloud engineering expertise, ETL development experience, and leadership skills from managing customer service operations at Walmart Canada.
Certifications
AWS Certified Solutions Architect
Amazon Web Services
Education
Graduate Certification — Cloud Architecture & Administration
Jan2023 - Aug2023Seneca College, Ontario
3.8 GPA
Graduate Certification — Big Data Solutions Architecture
Jan2022 – Aug2023Conestoga College, Ontario
3.65 GPA
Bachelor of Engineering — Computer Science
2018Gujarat Technological University
9.22 CGPA
02. Skills
Tech Stack
Cloud & Infrastructure
Data & ETL
Languages & Databases
Analytics & Tools
03. Experience
Work History
Senior Data Engineer
SeniorWipro Limited
- ›Designed and developed scalable ETL pipelines using AWS Glue and PySpark, processing 500GB+ of data daily
- ›Built and optimized data lake architecture on AWS S3 with Athena, improving query performance by 40%
- ›Developed batch and near real-time data pipelines integrating Kafka, AWS Lambda, and Redshift
- ›Implemented efficient data partitioning and indexing strategies, reducing processing time significantly
- ›Migrated legacy ETL workflows from IBM DataStage to AWS Glue, improving throughput by 35%
- ›Automated infrastructure provisioning using Terraform, reducing deployment time by 50%
- ›Optimized Spark jobs by tuning memory usage, parallelism, and data skew handling
- ›Ensured data quality and validation using Python-based frameworks
- ›Collaborated with data analysts and business teams to design scalable data models
Data Engineer
TechnicalInfosys Limited
- ›Engineered ETL pipelines using Apache Spark & Python — data processing speed +40%
- ›Integrated workflows with Spark on Hadoop (HDFS, Hive) — query times reduced 35%
- ›Automated data transformation tasks, cutting manual intervention by 50%
- ›Collaborated with data architects to design scalable ETL solutions — +20% data accessibility
- ›Applied advanced data cleansing with Python to ensure high-quality datasets
Junior Data Engineer
TechnicalTata Consultancy Services
- ›Improved system performance by 25% via technical reviews and updates
- ›Reduced code errors by 15% through structured code reviews
- ›Developed ETL documentation, reducing onboarding time by 30%
- ›Resolved data-related issues, improving system uptime by 20%
- ›Handled scripting tasks for debugging and automation using Python & Bash
04. Projects
Featured Projects
Two-Tier Cloud Automation
Built a two-tier static web application on AWS using Terraform & Ansible. Includes VM provisioning, webserver deployment, and automated security scanning via GitHub Actions.
Containerized App on Kubernetes
Deployed a web app on Amazon EKS with Docker containerization. Automated Docker image builds through GitHub Actions, publishing to private ECR with persistent data integration.
ETL Pipeline in AWS
Developed a fully automated ETL pipeline using Python, AWS S3 and Glue. Implemented data quality checks and monitoring with CloudWatch. Analyzed large datasets using PySpark.
ETL Pipeline for Financial Data
Built an ETL pipeline using IBM DataStage to process financial transaction data. Integrated data from multiple sources into Hadoop for large-scale analysis with quality checks.
05. Contact
Let's Connect
I'm actively looking for Cloud Engineer & Data Engineering roles. Feel free to reach out for opportunities or collaborations!