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Shubhranshu Mishra

@shubhranshumishra

I’m a Senior Cloud Data Engineer modernizing enterprise analytics platforms with governed, scalable pipelines across Azure and AWS.

India

Message

What I'm looking for

I’m looking for a team where I can lead cloud-native data modernization end-to-end—building governed pipelines, optimizing performance, and ensuring reliable analytics delivery across Azure/AWS with strong engineering and DevOps practices.

I’m a Strategic Cloud Data Engineering professional with over 5 years of experience delivering enterprise-scale data modernization and analytics transformation. I design cloud data platform ecosystems that move teams from fragmented landscapes to standardized, analytics-ready solutions with governance, accessibility, and long-term sustainability.

In recent roles, I’ve owned end-to-end delivery across multi-client, multi-domain engagements—building cloud-native pipelines, provisioning data warehouses, and strengthening dataset reliability through validation, enrichment, and harmonization. I’ve implemented layer-based architectures, metadata-driven orchestration, and Delta Lake optimization (partitioning, Z-ordering, caching, and auto-scaling) to improve performance and cost control.

I also enjoy solving adjacent problems where data meets automation and intelligence—migrating legacy workloads to cloud platforms, supporting BI consumption, and enabling AI-ready data assets (including an orchestration-driven RAG chatbot using Flask and Streamlit). As a Platform Engineer, I’m now designing AWS infrastructure and CI/CD workflows that keep data operations reliable and scalable.

Experience

Work history, roles, and key accomplishments

Current

Platform Engineer

Current

EPAM Systems

Feb 2026 - Present (4 months)

Designed and managed AWS cloud infrastructure with Terraform, provisioning S3, IAM roles/policies, and networking. Built and automated AWS Glue ETL pipelines into Snowflake and implemented CI/CD and operations automation using Python and Bash.

Terraform AWS IAM AWS S3 AWS Glue Snowflake Python BASH CI CD System Monitoring

Data Engineer

Publicis Sapient

Jan 2025 - Dec 2025 (11 months)

Delivered standardized, governed cloud-native reporting and analytics data solutions using layered data architecture. Built ETL/ELT pipelines with Azure Databricks, ADF, Delta Lake, and ADLS, including metadata-driven orchestration and Delta Lake optimizations (partitioning, Z-ordering, caching, and auto-scaling).

Azure Databricks Azure Data Factory ADLS Delta Lake Databricks Logic Apps Delta Lake Optimization DBT Data Governance Data Pipelines

Data Engineer

Recro

Oct 2024 - Jan 2025 (3 months)

Contributed to cloud modernization by migrating legacy SQL Server workloads to Azure and Snowflake for enterprise analytics. Developed ELT workflows with Snowflake (stages/warehouses) and dbt incremental models, loaded curated datasets into Azure Synapse, and created Power BI dashboards for operational insights.

Azure Data Factory Snowflake DBT ELT Workflows Azure Synapse Power BI Data Modeling

Data Engineer

Incedo Inc.

Jul 2024 - Oct 2024 (3 months)

Prepared structured, analytics-ready datasets to support conversational and retrieval-based AI use cases. Built a PostgreSQL-backed RAG chatbot using Flask APIs and Streamlit, orchestrated ingestion/embedding refresh workflows with Airflow, and implemented dbt SQL transformations with testing.

Retrieval Augmented Generation (RAG)PostgreSQL Flask Streamlit Apache Airflow DBT Data Ingestion Embedding Pipelines

Data Engineer

Jcl Systems

Mar 2023 - Jul 2024 (1 year 4 months)

Delivered near real-time, IoT-driven analytics by transforming high-volume telemetry into consumable datasets. Implemented event-driven ingestion with Azure IoT Hub, Event Hub, Databricks, and ADF, and added PySpark-based anomaly detection/enrichment with Delta Lake and Spark performance tuning.

Azure IoT Hub Azure Event Hubs Databricks Azure Data Factory Pyspark Delta Lake Data Enrichment Anomaly Detection

Data Engineer

Accenture

Jan 2021 - Feb 2023 (2 years 1 month)

Supported enterprise-scale data platform modernization by migrating Hadoop and SQL workloads to cloud-native architectures on Azure Databricks, Snowflake, and ADLS Gen2. Developed dbt models for standardized transformations and lineage documentation, and implemented RBAC/ABAC for secure access control and auditing.

Azure Databricks Snowflake Azure ADLS Gen2 DBT Data Lineage RBAC Data Security