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I’m Tanveer Singh, a data engineer with 4+ years of experience designing, building, and optimizing scalable data ingestion and analytics pipelines across cloud and big data platforms. I thrive in collaborative, Agile environments and enjoy turning complex data challenges into reliable, analytics-ready datasets. I specialize in AWS and Azure ecosystems, developing ETL/ELT pipelines with Snowflake, Databricks, Spark, Informatica, and Python. My strengths include PySpark, Delta Lake, Snowflake, and data modeling to support analytics, BI dashboards, and reporting. I’m passionate about cloud data migration, scalability, reliability, and cost efficiency, and I enjoy learning new technologies to keep our data solutions modern and impactful.…I’m Tanveer Singh, a data engineer with 4+ years of experience designing, building, and optimizing scalable data ingestion and analytics pipelines across cloud and big data platforms. I thrive in collaborative, Agile environments and enjoy turning complex data challenges into reliable, analytics-ready datasets. I specialize in AWS and Azure ecosystems, developing ETL/ELT pipelines with Snowflake, Databricks, Spark, Informatica, and Python. My strengths include PySpark, Delta Lake, Snowflake, and data modeling to support analytics, BI dashboards, and reporting. I’m passionate about cloud data migration, scalability, reliability, and cost efficiency, and I enjoy learning new technologies to keep our data solutions modern and impactful.

Tanveer Singh

Data Scientist, Full Stack Developer, Data Analyst, +2

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I’m Tanveer Singh, a data engineer with 4+ years of experience designing, building, and optimizing scalable data ingestion and analytics pipelines across cloud and big data platforms. I thrive in collaborative, Agile environments and enjoy turning complex data challenges into reliable, analytics-ready datasets. I specialize in AWS and Azure ecosystems, developing ETL/ELT pipelines with Snowflake, Databricks, Spark, Informatica, and Python. My strengths include PySpark, Delta Lake, Snowflake, and data modeling to support analytics, BI dashboards, and reporting. I’m passionate about cloud data migration, scalability, reliability, and cost efficiency, and I enjoy learning new technologies to keep our data solutions modern and impactful.…I’m Tanveer Singh, a data engineer with 4+ years of experience designing, building, and optimizing scalable data ingestion and analytics pipelines across cloud and big data platforms. I thrive in collaborative, Agile environments and enjoy turning complex data challenges into reliable, analytics-ready datasets. I specialize in AWS and Azure ecosystems, developing ETL/ELT pipelines with Snowflake, Databricks, Spark, Informatica, and Python. My strengths include PySpark, Delta Lake, Snowflake, and data modeling to support analytics, BI dashboards, and reporting. I’m passionate about cloud data migration, scalability, reliability, and cost efficiency, and I enjoy learning new technologies to keep our data solutions modern and impactful.

Available to hire

I’m Tanveer Singh, a data engineer with 4+ years of experience designing, building, and optimizing scalable data ingestion and analytics pipelines across cloud and big data platforms. I thrive in collaborative, Agile environments and enjoy turning complex data challenges into reliable, analytics-ready datasets.

I specialize in AWS and Azure ecosystems, developing ETL/ELT pipelines with Snowflake, Databricks, Spark, Informatica, and Python. My strengths include PySpark, Delta Lake, Snowflake, and data modeling to support analytics, BI dashboards, and reporting. I’m passionate about cloud data migration, scalability, reliability, and cost efficiency, and I enjoy learning new technologies to keep our data solutions modern and impactful.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Data Engineer at Staples

October 1, 2025 - Present

Designed and modernised cloud-based data engineering solutions to support large-scale infrastructure monitoring, data lake ingestion, and enterprise analytics by migrating on-prem workloads to AWS-based big data platforms. Implemented robust ELT pipelines using Snowflake, Airflow, PySpark, AWS services, Fivetran, and dbt to enable scalable data processing. Migrated legacy data systems to the cloud, automated data ingestion from 300k servers into MySQL RDS, and built APIs and storage integrations with S3 and RDS. Collaborated with cross-functional teams to deliver analytics-ready datasets for operational, safety, and sustainability insights.

Data Engineer at Global Relay

July 1, 2023 - September 30, 2025

Developed cloud-native ETL and analytics pipelines for telecom data platforms, enabling structured ingestion, transformation, and analytics on high-volume semi-structured data. Implemented automated ETL workflows using AWS Glue, Lambda, DMS, Athena, and Step Functions to orchestrate data migration from MySQL to S3 and scheduled ongoing replication with data quality checks. Built Databricks pipelines using SQL and PySpark to process diverse sources and generate business insights. Optimized data quality and reliability with data quality checks and observability across workflows.

Data Engineer at Enquero Global

July 1, 2019 - April 30, 2021

Supported enterprise analytics by building ETL pipelines and reporting solutions integrating Salesforce, SAP HANA, and BI tools to deliver actionable business insights. Optimized Informatica PowerCenter ETL workflows to extract/load data from Salesforce into centralized reporting databases; designed SAP HANA Calculation Views and SQL queries to power sales and operations dashboards. Collaborated with cross-functional teams in Agile to align data pipelines with KPIs and deliver accurate, timely analytics.