Bighnesh Dash

Data Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in cloud data engineering and scalable solutions.
Proven track record in optimizing data pipelines.
Strong background in SAP data transformation projects.

Stackforce AI infers this person is a Data Engineer specializing in cloud solutions and data transformation for the healthcare industry.

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Skills

Core Skills

Cloud ComputingData EngineeringData Pipelines

Other Skills

ADBApache KafkaAzure Data FactoryCustomer EngagementData AnalysisData FlowData ModelingData ModelsData QualityData ServicesData TransformationData ValidationEngineering Data ManagementGoogle Cloud Platform (GCP)Microsoft SQL Server

About

Iron Mountain empowers data-driven strategies through scalable workflows and robust data platforms. As a Data Platform Engineer, contributed to key initiatives, including data modeling and transformation, leveraging Azure services and SQL to optimize performance. Certifications like Azure Data Fundamentals underscore proficiency in cloud-based tools and practices. Previous roles at Tiger Analytics and ALLD Technology involved collaborating on impactful projects for clients like Johnson & Johnson. Contributions included developing SAP data pipelines, streamlining incremental load processes, and implementing predictive algorithms. A BTech in Electrical and Electronics Engineering from IGIT, Sarang, underpins technical expertise and a commitment to innovation.

Experience

Iron mountain

Data Platform Engineer

Feb 2023 – Present · 3 yrs 1 mo · India · Remote

As a Data Platform Engineer at Iron Mountain, I design and manage scalable, cloud-based data solutions using Google Cloud Platform (GCP). My responsibilities include building robust ETL/ELT pipelines to enable reliable and efficient data integration across systems, including close collaboration with the Salesforce team for seamless data flow.
I work extensively with Apache Airflow (deployed via Astronomer) to orchestrate complex data workflows and ensure timely, automated pipeline execution. Leveraging PySpark, SQL, and GCP-native services like BigQuery, Cloud Storage, and Pub/Sub, I optimize data pipelines for performance, maintainability, and cost efficiency.
I contribute to data platform modernization by integrating cloud-native tools, improving data governance, and automating legacy processes. My work has led to improved data availability, reduced latency, and more scalable data infrastructure across teams and use cases.
This role has sharpened my expertise in cloud data engineering, hybrid cloud integrations, and end-to-end pipeline development using modern orchestration and deployment tools.

Data ModelingData ServicesCloud ComputingApache KafkaData EngineeringSQL+2

Tiger analytics

Software Engineer

Jun 2022 – Feb 2023 · 8 mos · Chennai, Tamil Nadu, India

Alld technology

Data Engineer

May 2021 – Jun 2022 · 1 yr 1 mo · Brahmapur, Odisha, India

Worked in Various projects at ALLD Technologies acquired by ALLD Technology Pvt. Ltd
1) ATP Project, Client - Johnson & Johnson
Developed Data pipelines as part of a team to Transform SAP Data
Developed a DAILY/ NRTP job Run Dependency service using custom orchestrated Data Workflow
Developed Date Prediction Algorithm (D0) for Material availability.
Converted delta data to synapse table as an incremental Load
Also Developed a monitoring service For External Data Sources provided by business
2) L2 Objects Data Project, Client - Johnson & Johnson
Developed pipeline as part of a team to convert L0 Data obtained from SAP to L2 Data which was consumed in ATP

Data EngineeringData PipelinesPredictive AlgorithmsSAP Data Transformation