Ankit Mohan Pandey

Data Engineer

Bengaluru, Karnataka, India4 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

4+ years of experience in data engineering.
Expertise in building cloud-native data pipelines.
Passionate about solving complex data challenges.

Stackforce AI infers this person is a Data Engineer specializing in cloud-native solutions for retail analytics.

Contact

pandeyankitmohan@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringGoogle Cloud Platform (gcp)Software DevelopmentDevops

Other Skills

Amazon Web Services (AWS)AnsibleApache AirflowAutomated Machine Learning (AutoML)AutomationBig DataBigQueryC (Programming Language)Cloud ComputingCloud FunctionsContinuous Integration and Continuous Delivery (CI/CD)Data AnalysisData ModelingData StrategiesDocker

About

I’m a Data Engineer with 4+ years of experience designing and scaling cloud-native data pipelines that power analytics, personalization, and business decision-making. At Lowe’s, I work on the Personalization team, building secure, automated workflows that transform customer behavior data into actionable insights. I specialize in SQL, Python, Apache Airflow, and BigQuery, along with hands-on expertise in GCP services (Cloud Functions, Pub/Sub, Dataflow, Dataproc, Looker Studio). My work includes optimizing ETL/ELT pipelines, data modeling, performance tuning, and automation. I’ve also implemented containerized solutions with Docker/Kubernetes and CI/CD pipelines, ensuring scalability, reliability, and compliance across production workflows. What drives me is solving complex data challenges at scale from analyzing dwell patterns to enabling real-time personalisation and ensuring data systems are secure, efficient, and business-focused. Passionate about continuous learning, I’m currently deepening my expertise in advanced SQL, ML-driven analytics, and data strategy.

Experience

Lowe's india

Data Engineer

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India

Designed and optimized secure, cloud-native data pipelines in GCP using Apache Airflow, BigQuery, and Python, improving pipeline reliability and reducing runtime by 25%.
Built and automated personalization workflows by analyzing customer dwell patterns, boosting insights into conversion behavior and engagement strategies.
Developed a proof of concept (PoC) for chaining GCP Cloud Functions, enabling seamless orchestration across real-time data jobs.
Partnered with data scientists and business teams to translate raw session data into actionable predictions, driving measurable improvements in personalization outcomes.
Enhanced pipeline monitoring, security, and compliance, ensuring end-to-end data governance in production workflows.
Improved Contributed to ETL/ELT optimization, data modeling, and automation, supporting large-scale personalization and analytics initiatives.

Apache AirflowSQLPythonBigQueryGCPETL+4

Mphasis

Associate Software Engineer

Feb 2022 – Jun 2024 · 2 yrs 4 mos · Bengaluru, Karnataka, India

As a fresher, I was introduced to the world of Servlet, Microservices, REST API, Maven, Jenkins, Linux various SDLC processes.
Gained a good understanding of Banking and Financial Sector Domain.
Learnt SDLC of a enterprise application. Understood how an enterprise application is designed, developed, deployed for testing, tested and moved to production.
Learnt the process of Change management and Incident Management.
Managed hundreds of Enterprise Archives and Streamlined the process of their deployment in WebSphere Application Server by creating Jenkins Pipelines.
Architected and Orchestrated the Build, Deploy, Test and Report Management Jenkins Pipelines.

ServletMicroservicesREST APIMavenJenkinsLinux+2