Milind Ujjawal

Data Engineer

Gurugram, Haryana, India4 yrs 4 mos experience

Key Highlights

Led development of multi-threaded Java ingestion services.
Pioneered advanced data modeling in Google BigQuery.
Achieved 40% improvement in data pipeline performance.

Stackforce AI infers this person is a Data Engineer specializing in SaaS data solutions and analytics.

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Skills

Core Skills

Data EngineeringJavaScalaGoogle BigqueryHadoopEtl

Other Skills

DatabricksLooker StudioS3SparkGA4Data ModelingHiveAirflowPythonDatabasesInterpersonal CommunicationDocumentationPowershellNumPyDWH

About

Results driven Data Engineer with 4 years of experience in designing scalable data architectures and high performance ETL pipelines. Currently at Editorialist, I lead the development of multi-threaded Java ingestion services and Scala Spark applications on Databricks to process large scale S3 data lakes. I specialize in optimizing Google BigQuery models, integrating GA4 streams with transactional data to drive unified analytics and reduce Looker dashboard costs. Core Technical Stack: Languages: Python, Java, Scala, SQL Data Engineering: Spark, Databricks, Apache Airflow, Hadoop Cloud and DB: Google BigQuery, GCP, Azure, AWS, S3 DevOps: Docker, Kubernetes, CI/CD, Git

Experience

4 yrs 4 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Editorialist

SDE-2 (Data & Reporting)

Jul 2025 – May 2026 · 10 mos · Gurugram, Haryana, India · Hybrid

Engineered a high-throughput, multi-threaded Java microservice to reliably ingest, normalize, and pipeline massive datasets from diverse affiliate network APIs e.g., Awin, Rakuten directly into an S3 data lake.
Architected and heavily optimized Scala Spark distributed applications on Databricks, accelerating the processing of complex entity datasets and large-scale S3 data dumps by minimizing resource bottlenecks.
Pioneered advanced data modeling in Google BigQuery, seamlessly integrating GA4 event streams with downstream affiliate transactional data to unlock unified, actionable business analytics.
Leveraged AI-assisted rapid development to architect a custom full-stack internal CMS (React, Ruby), successfully tracking and integrating a new Brand Partnership revenue stream into core unified datasets, driving $35,000 in annual savings and earning distinct leadership recognition.
Overhauled and fine-tuned complex scheduled queries in BigQuery for aggregate table generation, slashing Looker dashboard query costs and drastically improving analytical load times.
Implemented agentic Python workflows and intelligent automation scripts interacting with Google APIs, autonomously managing SEO and Google Ads operations to eliminate 8+ manual hours weekly.

JavaScalaDatabricksGoogle BigQueryLooker StudioData Engineering+1

O9 solutions, inc.

3 roles

Senior Technical Consultant | Data engineer

Promoted

Apr 2024 – Jun 2025 · 1 yr 2 mos

Designed and implemented a robust end-to-end data pipeline using Hadoop, Hive, Spark, and Airflow to ingest and process 3 billion rows for initial setup and 50 million rows daily thereafter, meeting stringent SLAs and business demands with near 100% accuracy.
Optimized PySpark code to leverage distributed resources, achieving a 40% improvement in data pipeline performance and execution efficiency.
Established and maintained a Git version control system, enhancing code collaboration, modularity, and version tracking.
Collaborated closely with clients throughout the project lifecycle (from blueprint to development and go-live), ensuring successful implementation and alignment with business needs.
Leveraged Apache Airflow for task management and implemented dynamic scheduling strategies (e.g., Airflow Sensors) to manage varying frequencies of table loads, including weekly, daily with net change, and full loads, ensuring seamless workflow orchestration.
Implemented automated notification systems (via Slack and Email) for pipeline job failures using Airflow, ensuring timely issue detection and resolution.
Established a comprehensive reporting and error framework within the pipeline, generating summary and failure reports upon job completion to improve observability and troubleshooting.

HadoopHiveSparkAirflowPythonData Engineering

Technical Consultant

Jul 2022 – Apr 2024 · 1 yr 9 mos

Designing and implementing data pipelines to facilitate seamless ETL (Extract, Transform, Load) processes, both for inbound and outbound data streams, enhancing data accuracy and availability for critical decision-making.
Collaborating with cross-functional teams to define data integration requirements and architecture, ensuring that data flows smoothly between various systems and stakeholders.
Enhanced data efficiency and accessibility for supply chain operations.
Leveraged data warehousing and logistics knowledge.

DatabasesPythonData EngineeringETL

PMM Intern

Feb 2022 – Jun 2022 · 4 mos

DatabasesPython

Simtrum pte. ltd.

Software Engineer Intern

Nov 2021 – Jan 2022 · 2 mos · Singapore · Remote

PythonPowershell

Training & placement cell, nit agartala

Placement Coordinator

Jul 2021 – Feb 2022 · 7 mos · Agartala, Tripura, India

Interpersonal CommunicationDocumentation

Hans matrimony

Frontend Developer

May 2021 – Jul 2021 · 2 mos · Delhi, India

Working with technologies like React.JS, Tailwind CSS, Material UI, Formik and many more react based libraries, with end to end Figma design, from initial concept to final product meeting industry standards.

DatabasesNumPy