Data Engineering & Analytics Tech Stack
Our data engineering team specializes in building robust data pipelines, warehousing solutions, and advanced analytics platforms that transform raw data into actionable insights.
Technologies We Use
Apache Airflow
Workflow orchestration & scheduling
Apache Spark
Distributed data processing at scale
ClickHouse
Open-source columnar analytics database
Databricks
Unified analytics & lakehouse platform
dbt
Data transformation & modeling
Elasticsearch
Search, analytics & log management
Kafka
Real-time event streaming platform
MongoDB
Flexible NoSQL document database
MySQL
Reliable relational database
Object Storage
AWS S3, Azure Blob & GCP Storage
PostgreSQL
Advanced relational database
Snowflake
Cloud-native data warehouse
Key Features & Achievements
Built real-time data pipelines processing 1M+ events/second
Reduced data processing costs by 60% using stream processing
Implemented predictive analytics with 95% accuracy
Designed data lakes handling 10PB+ of structured/unstructured data
Automated ETL workflows reducing manual effort by 80%