PROJECTS

Financial Data, AI & Architecture Projects

Architecture and project examples connecting data engineering to financial-data ingestion, analytics and AI/ML workflows.

02
TELECOM ANALYTICS

Broadband Customer Churn Analytics

ETL and analytical preparation for customer behavior, churn features, data quality and BI reporting.

PySparkSQLSSISPower BI
03
FINTECH ANALYTICS

Customer Behavior Analytics

Transaction analytics for segmentation, cohort trends, conversion and anomaly monitoring.

PythonSQLPySparkAWS S3
04
EDUCATION PLATFORM

Data Engineering Study Platform

A roadmap for structured notes, technical references, interview preparation and hands-on learning labs.

PythonSQLCloudBig Data
ARCHITECTURE GALLERY

System design from concept to production.

These diagrams are learning/architecture material; they should not be interpreted as proof of production deployment unless explicitly stated.

Core Market Data Architecture

Initial streaming and batch design using Python ingestion, Kafka, Spark, PostgreSQL, Airflow and analytics tooling.

AWS Native Mapping

AWS-managed patterns for ingestion, streaming, processing, S3 lake storage, serving and analytics.

Reliability & Backfill

Retries, idempotency, checkpointing, timezone-aware scheduling, DLQ and reprocessing controls.

CI/CD & Deployment

Source control, build/test, encrypted artifacts, deployment approvals and rollback patterns.

Operational Risk Controls

Schema validation, governance, API rate limits and production safeguards.

Rate Limits & Governance

Quota management, access governance, data controls and artifact security.

Event-Driven Variant

Event-driven ingestion patterns for file arrival, retries and operational notifications.

Near-Production AWS Platform

Multi-layer data lake, serving, analytics, orchestration, monitoring, security and DR.

Final Production Blueprint

A production-oriented global market-data platform blueprint with real-time and batch processing.