Ujjain Bana

CTO

Gurugram, Haryana, India8 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Core contributor to in-house ETL orchestration platform.
Achieved significant infrastructure savings through optimization.
Developed scalable platforms generating millions in revenue.

Stackforce AI infers this person is a Data Engineering expert in SaaS with a strong focus on ETL and backend development.

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Skills

Core Skills

EtlData EngineeringBackend Development

Other Skills

APIsAWSAirflowAlgorithmsAmazon KinesisApache HudiApache IcebergApache KafkaApache PulsarArtificial Intelligence (AI)BazelBig DataC++Cloud WorkflowsData Integrity

About

Data Engineering & Tech Lead with 7+ years of experience architecting scalable ETL pipelines and building robust data platforms for SaaS and enterprise systems. My journey began in backend development for a travel management solution, where I played a key role in building a next-gen B2B platform from scratch. Over the past 4 years, I've transitioned into data engineering, becoming the core contributor and owner of Ally, Synaptic's in-house ETL orchestration platform (Airflow equivalent) that drives automation, reliability, and high-performance data workflows.

Experience

8 yrs 3 mos

Total Experience

4 yrs 1 mo

Average Tenure

5 yrs 3 mos

Current Experience

Synaptic

3 roles

Tech Lead - Data Platform

Promoted

Aug 2024 – Present · 1 yr 10 mos

Core contributor and sole owner of Ally, Synaptic’s in-house ETL orchestration platform (Airflow equivalent), driving automation, reliability, and high-performance data workflows.
Achieved $120K+ annual infrastructure savings by optimizing cloud workflows, migrating to EMR Serverless, and eliminating legacy systems.
Built real-time data observability and quality frameworks using Prometheus, Grafana, Cronitor, and OpenObserve, reducing MTTR by 50% and enabling proactive monitoring.

ETLAirflowCloud WorkflowsPrometheusGrafanaData Engineering

Software Engineer 3

Promoted

Mar 2022 – Aug 2024 · 2 yrs 5 mos

Designed a Python backend monorepo with a reusable framework, cutting development time by 40% for new pipelines and features.
Architected and maintained 10+ enterprise-scale ETL pipelines, ensuring 99%+ data integrity across multiple sources.
Enhanced developer productivity by 90%, reducing build times from 45 minutes to 2–4 minutes through Docker and Bazel implementation.

PythonETL PipelinesDockerBazelData EngineeringBackend Development

Software Engineer 2

Mar 2021 – Mar 2022 · 1 yr

Developed a scalable Warehouse Management Platform, enabling data sharing, backups, and SQL-based transformations, generating $2M+ revenue in the first year.
Developed multiple ETL pipelines and designed APIs on top of them, enabling seamless data access and integration across platforms.

ETLAPIsSQLData Engineering