Danish S.

✪ Guaranteed Success ✪ Guaranteed Delivery ✪ Timely Response ✪ Project Ownership ✪ Engineering with Business Context ✪ Scalable by Design ✪ Communication You Can Rely On Hire someone who builds data systems with purpose, not just pipelines. I architect, engineer, and deliver systems that solve real business problems. I’m a Data Engineering Leader with 10 years of experience designing pipelines, managing large-scale data warehouse migrations, building real-time ingestion systems, and delivering high-impact business intelligence platforms. I've worked across banking, telecom, streaming, and SaaS, turning raw data into decision-grade systems. Whether you're building real-time ingestion pipelines with Kafka, optimizing ETL for large-scale data lakes, migrating from OLTP to distributed OLAP systems, automating DAGs with Airflow, or standardizing BI across fragmented teams, I bring both the architectural vision and hands-on expertise to deliver robust, scalable solutions. Data Architecture ➤ Logical and physical modeling, ER diagrams, schema optimization ➤ DWH design using Teradata, Greenplum, and PostgreSQL Real-Time Systems and Pipelines ➤ Kafka, Spark, TimescaleDB, Airflow, Debezium, MQTT ➤ Python-based microservices (asyncio, psycopg2) Business Intelligence and Analytics ➤ Qlik Sense, Tableau, Apache Superset, Jasper Reports ➤ KPI dashboarding, multi-source integration, stakeholder enablement Cloud and DevOps ➤ AWS (Lambda, S3, EC2, IAM), Docker, Bash scripting ➤ GitHub workflows, CI/CD pipelines, systemd-based deployments Data Scraping and Mining ➤ Custom web scrapers, API clients, document extraction engines ➤ Text mining using Elasticsearch and Python Project Experience ➤ Built scalable Kafka pipelines for IoT telemetry ingestion using MQTT and TimescaleDB ➤ Migrated mission-critical warehouses to MPP OLAP systems for banking and telecom clients ➤ Led multi-team Agile delivery with full JIRA and Git ownership ➤ Created semantic search engines using Elastic and Python ➤ Delivered BI dashboards enabling product, finance, and marketing teams to self-serve insights What You Can Expect? Clear communication and regular syncs Strong ownership from design through deployment Systems built for performance, resilience, and maintainability A partner who understands both technical depth and business context If you're looking for someone who can lead your data engineering efforts and deliver results that scale, I'm ready to help.