ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β DATA ENGINEERING COMMAND CENTER β
β βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ£
β STATUS π’ ONLINE β
β ROLE Data Engineer β
β LOCATION India β
β PRIMARY STACK Python β’ SQL β’ AWS β’ Snowflake β
β SPECIALIZATION ETL β’ Analytics β’ Cloud β’ Data Pipelines β
β CURRENT MISSION Build Scalable Data Engineering Solutions β
β SYSTEM HEALTH ββββββββββββββββββββββββββββ 100% β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
name: Utkarsh Tripathi
role: Data Engineer
currently_working_on:
- Data Engineering
- Cloud Technologies
- AWS
- Snowflake
- Python Automation
currently_learning:
- Apache Spark
- AWS Athena
- Distributed Data Processing
- System Design
- Data Modeling
interests:
- Data Engineering
- Backend Development
- Cloud Computing
- Data Analytics
- Distributed Systems
hobbies:
- Solving LeetCode
- Learning New Technologies
- Building Projects RAW DATA
β
βΌ
ββββββββββββββββββββ
β Data Sources β
ββββββββββββββββββββ
β
βΌ
ββββββββββββββββββββ
β ETL Pipelines β
ββββββββββββββββββββ
β
βΌ
ββββββββββββββββββββ
β Snowflake β
ββββββββββββββββββββ
β
βΌ
ββββββββββββββββββββ
β Analytics & BI β
ββββββββββββββββββββ
β
βΌ
Business Insights
- πΉ Data Engineer passionate about building reliable ETL pipelines.
- πΉ Experienced with AWS cloud services and Snowflake.
- πΉ Strong foundation in Python, SQL, and Data Warehousing.
- πΉ Continuously improving through DSA and system design.
- πΉ Love transforming raw data into actionable insights.
"Good Data Engineering is invisible.
When pipelines work perfectly, nobody notices.
When they fail, everyone notices."
Languages ββββββββββββββββββββββββββββ
Python ββββββββββββββββββββββββββββ
SQL ββββββββββββββββββββββββββββ
AWS βββββββββββββββββββββββββββ
Snowflake βββββββββββββββββββββββββββ
Spark βββββββββββββββββββββββββββ
System Design βββββββββββββββββββββββββββ
DSA βββββββββββββββββββββββββββ
βββββββββββββββββββββββββββββββββββββββββββββββββββ
π Building Production Ready Data Pipelines
βοΈ Mastering AWS Data Engineering Services
π Learning Distributed Computing
β‘ Solving LeetCode Daily
ποΈ Creating End-to-End Data Engineering Projects
βββββββββββββββββββββββββββββββββββββββββββββββββββ
| AWS Service | Status | Progress |
|---|---|---|
| Amazon S3 | β Completed | ββββββββββ |
| AWS Glue | β Completed | ββββββββββ |
| Amazon EMR | β Completed | ββββββββββ |
| Amazon Athena | π Learning | ββββββββββ |
| AWS Lambda | π Learning | ββββββββββ |
| IAM | β Comfortable | ββββββββββ |
| CloudWatch | π Learning | ββββββββββ |
| EventBridge | π Learning | ββββββββββ |
| Redshift | π― Planned | ββββββββββ |
| Kafka | π― Planned | ββββββββββ |
| Airflow | π― Planned | ββββββββββ |
Python ββββββββββββββββββββββββββββββββ
SQL βββββββββββββββββββββββββββββββ
Snowflake βββββββββββββββββββββββββββββββ
AWS βββββββββββββββββββββββββββββββ
ETL Development βββββββββββββββββββββββββββββββ
Data Warehousing βββββββββββββββββββββββββββββββ
Apache Spark βββββββββββββββββββββββββββββββ
Data Modeling βββββββββββββββββββββββββββββββ
Backend Development βββββββββββββββββββββββββββββββ
System Design βββββββββββββββββββββββββββββββ
Weekdays
β Data Engineering
β AWS
β Apache Spark
β Data Modeling
β LeetCode
β System Design
β Backend Development
β Cloud Architecture
Weekend
β Build Projects
β Read Documentation
β Explore New Technologies
β Open Source
β Experiment with AWS
DATA SOURCES
CSV JSON APIs
DATABASES
β
βΌ
Data Ingestion
β
βΌ
Data Validation
β
βΌ
ETL / Transformation
β
βΌ
Snowflake
β
βΌ
Business Analytics
β
βΌ
Dashboards / BI
Python
ββββββββββββββββββββββββββββββ
SQL
ββββββββββββββββββββββββββββββ
Snowflake
ββββββββββββββββββββββββββββββ
AWS
ββββββββββββββββββββββββββββββ
Spark
ββββββββββββββββββββββββββββββ
Kafka
ββββββββββββββββββββββββββββββ
Airflow
ββββββββββββββββββββββββββββββ
dbt
ββββββββββββββββββββββββββββββ
System Design
ββββββββββββββββββββββββββββββ
βοΈ Morning
β Coffee
π§ Learn New Concepts
π» Office Work
π Evening
π AWS
π§© LeetCode
π Personal Projects
π Night
π Reading
π Notes
π‘ Planning Next Day
An end-to-end Data Engineering project for analyzing user engagement, subscriptions, watch history, revenue, and platform trends across multiple OTT services.
+----------------------+
| Data Generation |
| Python + Faker API |
+----------+-----------+
|
|
βΌ
+----------------------+
| Amazon S3 |
| Raw Data Storage |
+----------+-----------+
|
βΌ
+----------------------+
| AWS Glue |
| Crawlers + Catalog |
+----------+-----------+
|
βΌ
+----------------------+
| AWS Athena |
| SQL Analytics Layer |
+----------+-----------+
|
βΌ
+----------------------+
| Spark / Python |
| Data Transformation |
+----------+-----------+
|
βΌ
+----------------------+
| Snowflake / DB |
| Curated Data Layer |
+----------+-----------+
|
βΌ
+----------------------+
| Power BI Dashboard |
+----------------------+
- πΊ User Engagement Analysis
- π° Subscription Revenue Dashboard
- π Regional Popularity
- β Movie & Series Rankings
- π Growth Analytics
- π€ Customer Segmentation
- π₯ Trending Content
- π― Recommendation Analytics
Infosys Ltd.
Client: Apple Inc.
Responsibilities
β ETL Development
β Data Pipeline Development
β SQL Query Optimization
β Snowflake Development
β Data Validation
β Data Quality Checks
β Finance Data Engineering
β Production Support
β Automation
β Root Cause Analysis
Source Systems
SAP HANA Oracle Files
β
βΌ
Data Extraction
β
βΌ
Data Validation
β
βΌ
Data Transformation
β
βΌ
Snowflake Warehouse
β
βΌ
Business Reporting
β
βΌ
Apple Finance Dashboards
DATA ENGINEERING
Python
ββββββββββββββββββββββββββββββ
SQL
ββββββββββββββββββββββββββββββ
AWS
ββββββββββββββββββββββββββββββ
Snowflake
ββββββββββββββββββββββββββββββ
Apache Spark
ββββββββββββββββββββββββββββββ
Docker
ββββββββββββββββββββββββββββββ
Git
ββββββββββββββββββββββββββββββ
Linux
ββββββββββββββββββββββββββββββ
- Two Pointers
- Sliding Window
- Prefix Sum + HashMap
- Binary Search
- Linked List
- Trees
- Heap
- Graph
- Dynamic Programming
Python
ββββββββββββββββββββββββββββββ
SQL
ββββββββββββββββββββββββββββββ
Snowflake
ββββββββββββββββββββββββββββββ
AWS Core
ββββββββββββββββββββββββββββββ
Athena
ββββββββββββββββββββββββββββββ
Spark
ββββββββββββββββββββββββββββββ
Kafka
ββββββββββββββββββββββββββββββ
Airflow
ββββββββββββββββββββββββββββββ
dbt
ββββββββββββββββββββββββββββββ
Terraform
ββββββββββββββββββββββββββββββ
- β Master SQL
- β Master Snowflake
- π Master Apache Spark
- π Learn Apache Kafka
- π Learn Apache Airflow
- π Learn dbt
- π Learn Terraform
- AWS Data Engineering
- Serverless ETL
- Lakehouse Architecture
- Streaming Pipelines
- CI/CD for Data Engineering
- OTT Analytics Platform
- Data Lake Architecture
- Streaming Analytics
- Recommendation Engine
- Real-Time Dashboard
Target
500+ Problems
ββββββββββββββββββββ
- AWS Certified Data Engineer
- SnowPro Core Certification
- Databricks Data Engineer Associate
Python
β
Apache Kafka
β
Apache Spark
β
AWS Glue
β
Amazon S3
β
Snowflake
β
Airflow
β
dbt
β
Power BI
"Without data, you're just another person with an opinion."
β W. Edwards Deming
- β Coffee + Python = Productivity
- π I enjoy converting raw data into meaningful insights.
- βοΈ Cloud technologies fascinate me.
- π§© I solve LeetCode problems to sharpen problem-solving skills.
- π I believe the best way to learn is by building projects.
I believe that the best way to learn is by building, sharing, and collaborating.
I enjoy creating projects that solve real-world problems while continuously improving my knowledge of modern Data Engineering technologies.
Whether it's contributing to open source, building ETL pipelines, or experimenting with cloud services, I'm always excited to learn something new.
ββββββββββββββββββββββββββββββββββββββββββ
π― Become an Advanced Data Engineer
βοΈ Master AWS Data Engineering
β‘ Master Apache Spark
π Learn Apache Kafka
π Learn Apache Airflow
π Build Production Scale Data Pipelines
π Publish More Open Source Projects
π§© Solve 500+ LeetCode Problems
ββββββββββββββββββββββββββββββββββββββββββ
| πΌ Opportunity | Status |
|---|---|
| Data Engineering | β |
| Backend Engineering | β |
| Python Development | β |
| Open Source Collaboration | β |
| Cloud Projects | β |
| Learning & Networking | β |
Problem
β
βΌ
Understand
β
βΌ
Design
β
βΌ
Develop
β
βΌ
Test
β
βΌ
Deploy
β
βΌ
Monitor
β
βΌ
Improve
class DataEngineer:
def __init__(self):
self.name = "Utkarsh Tripathi"
self.role = "Data Engineer"
self.languages = [
"Python",
"SQL",
"C++"
]
self.cloud = [
"AWS"
]
self.database = [
"Snowflake",
"PostgreSQL",
"MySQL"
]
self.current_goal = "Build Scalable Data Platforms"
def motto(self):
return "Keep Learning β’ Keep Building β’ Keep Growing"
me = DataEngineer()
print(me.motto())Learning
ββββββββββββββββββββββββββββββ
Building
ββββββββββββββββββββββββββββββ
Exploring
ββββββββββββββββββββββββββββββ
Growing
ββββββββββββββββββββββββββββββ
Sharing
ββββββββββββββββββββββββββββββ
| Category | Favorite |
|---|---|
| Language | π Python |
| Database | βοΈ Snowflake |
| Cloud | βοΈ AWS |
| Query Language | π SQL |
| Version Control | πΏ Git |
| IDE | π» VS Code |
| Operating System | π macOS |
- π Building End-to-End Data Engineering Projects
- π Improving Data Modeling Skills
- βοΈ Deep Diving into AWS Services
- β‘ Mastering Apache Spark
- π§ Solving LeetCode Daily
- π Learning Distributed Systems
- π Designing Scalable ETL Pipelines
If you like my repositories, consider giving them a β.
It motivates me to keep building more useful projects and sharing my learning journey with the community.


