Hardeep Bhutter - Sr. Data Engineer for Banking Cloud

Q: Where is Hardeep based?

Hardeep is based in Munich, Germany .

Q: What languages does Hardeep speak?

Hardeep speaks the following languages: English (Advanced) .

Q: How many years of experience does Hardeep have?

Hardeep has at least 19 years of experience. During this time, Hardeep has worked in at least 4 different roles and for 7 different companies . The average length of individual experience is 2 years and 5 months . Note that Hardeep may not have shared all experience and actually has more experience.

Q: What is Hardeep's latest experience?

Hardeep's most recent position is Sr. Data Engineer at Charles Schwab Bank .

Q: What companies has Hardeep worked for in recent years?

In recent years, Hardeep has worked for Charles Schwab Bank and Hamburg Commercial Bank .

Q: Which industries is Hardeep most experienced in?

Hardeep is most experienced in industries like Banking and Finance , Information Technology , and Telecommunication .

Q: Which business areas is Hardeep most experienced in?

Hardeep is most experienced in business areas like Information Technology and Business Intelligence .

Q: Which industries has Hardeep worked in recently?

Hardeep has recently worked in industries like Banking and Finance .

Q: Which business areas has Hardeep worked in recently?

Hardeep has recently worked in business areas like Business Intelligence and Information Technology .

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Munich, Germany

Check rate

Experience

Aug 2023 - Feb 2026

2 years 7 months

Sr. Data Engineer

Charles Schwab Bank

Designed and implemented end-to-end data pipelines (batch & streaming) using Python, SQL, and Apache Spark, Databricks on AWS reducing ETL latency by 40%.
Developed serverless event-driven ingestion pipelines using AWS Lambda and SQS, ensuring real-time data availability for downstream analytics.
Leveraged Google Cloud Platform (GCP) services including BigQuery and Dataflow to manage cross-cloud data warehousing and analytics integration.
Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
Managed and customized data pipelines using Databricks, Airflow. Automation using Docker, Kubernetes, Terraform.
Automated data quality checks using dbt to modularize transformations and ensure production-grade data lineage, improving reliability by 30%.
Collaborated with compliance teams to ensure GDPR and SOC2 alignment. Mentored junior engineers and contributed to architecture refactoring for scalability.
Created and maintained dashboards in Power BI to provide actionable insights.

Oct 2019 - Jul 2023

3 years 10 months

Sr. Data Engineer

Hamburg Commercial Bank

Architected data lake solutions on AWS leveraging Glue, S3, and Lambda.
Built robust serverless data processing frameworks using AWS Lambda for automated file validation and error handling.
Developed Azure-based data solutions using Azure Data Factory (ADF) and Databricks, orchestrating complex ETL workflows in a multi-cloud environment.
Optimized Azure Synapse Analytics performance by implementing partitioned tables and materialized views, enhancing query efficiency.
Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
Implemented CI/CD data pipeline deployment via Terraform and GitLab.
Implemented data quality checks and observability using dbt tests to ensure structural integrity across warehouse layers.
Led a 5-member team, scaling the data warehouse for financial reporting. Implemented fine-grained access controls ensuring GDPR compliance.

Aug 2017 - Oct 2019

2 years 3 months

Sr. Data Engineer

Nokia

Built scalable data ingestion frameworks with Python and Spark.
Developed AWS-based integration components using Lambda and Kinesis for high-volume telemetry stream processing.
Orchestrated cloud resources using AWS Step Functions to manage complex data workflows and recovery logic.
Developed dashboards in Tableau for performance monitoring.
Optimized SQL/Spark jobs and partitioning strategies, improving query performance by up to 5x.
Integrated dbt for modeling raw data into presentation-ready star schemas, significantly reducing SQL complexity for end-users.

Jan 2017 - Jun 2017

6 months

Data Engineer

MSCI

Migrated ETL processes from Oracle to AWS Glue and Redshift. Automated metadata management for reporting pipelines.

Feb 2013 - Jan 2017

4 years

Data Engineer

Hewlett Packard

Designed data warehouse solutions for large enterprise clients. Introduced CI/CD pipelines for data workflows using Jenkins/Git. Managed and customized complex ETL pipelines, migration to Oracle Exadata box, Real time data with CDC.

Mar 2010 - Jan 2013

2 years 11 months

Data Engineer

Trigyn Technologies Ltd

Developed ETL workflows and PL/SQL scripts for analytics. Optimized queries for large datasets reducing runtime by 40%.

Mar 2009 - Mar 2010

1 year 1 month

Sr. DBA

Hewlett Packard

Managed Oracle databases, performed tuning and optimization. Assisted in data model design and ETL validation.

Jun 2006 - Jan 2009

2 years 8 months

DBA

Tata Consultancy Services

Maintained and monitored Oracle databases for banking systems. Supported data migration and performance tuning initiatives.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Banking and Finance, Information Technology, and Telecommunication.

Banking and Finance

Information Technology

Telecommunication

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology and Business Intelligence.

Information Technology

Business Intelligence

Languages

English

Advanced

Education

University of Bombay

B.sc · Electronics · Mumbai, India

University of Bombay

MBA · IT · Mumbai, India

Certifications & licenses

Oracle Certified 11g Admin and SQL Expert

Splunk

Statistics

Experience

Total positions 8

Experience in Banking and Finance 9.5 y

Avg length 2 y 5 m

Longest experience 3 y 11 m

Expertise

Recent roles Sr. Data Engineer, Data Engineer, Sr. DBA

Main industries Banking and Finance, Information Technology, Telecommunication

Main business areas Information Technology, Business Intelligence

Qualifications

Highest degree Master

Certifications earned 5

Profile

Created

August 2026

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Frequently asked questions

Have questions? Find more information here.

Hardeep is based in Munich, Germany.

Hardeep speaks the following languages: English (Advanced).

Hardeep has at least 19 years of experience. During this time, Hardeep has worked in at least 4 different roles and for 7 different companies. The average length of individual experience is 2 years and 5 months. Note that Hardeep may not have shared all experience and actually has more experience.

Based on recent experience, Hardeep would be well-suited for roles such as: Sr. Data Engineer, Data Engineer, Sr. DBA.

Hardeep's most recent position is Sr. Data Engineer at Charles Schwab Bank.

In recent years, Hardeep has worked for Charles Schwab Bank and Hamburg Commercial Bank.

Hardeep is most experienced in industries like Banking and Finance, Information Technology, and Telecommunication.

Hardeep is most experienced in business areas like Information Technology and Business Intelligence.

Hardeep has recently worked in industries like Banking and Finance.

Hardeep has recently worked in business areas like Business Intelligence and Information Technology.

Hardeep holds a Master in IT from University of Bombay and a Bachelor in Electronics from University of Bombay.

Hardeep has 5 certificates. Among them, these include: Certified in AWS Solution Architect Associate & Professional, ITIL, and Implementing Microsoft Azure Infrastructure Solutions (MCP).

Hardeep will be available full-time from September 2026.

Hardeep's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

To hire Hardeep, click the Meet button on the profile to request a meeting and discuss your project needs.

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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Average rates for similar positions

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Daily rate avg. 936 €

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Median rate 860 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.