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Hi Greetings!,
I am sharing a very strong Senior Data Engineer profile with 10+ years of experience in Financial Services, Healthcare, and Insurance domains.
The candidate has a strong combination of modern Cloud Data Engineering and enterprise ETL experience, with hands-on expertise in Snowflake, AWS, Azure, Python, SQL, Spark, Kafka, Airflow, DataStage, Informatica, and Talend.
Candidate Summary
- 10+ years of end-to-end Data Engineering experience across enterprise environments.
- Strong hands-on experience in Snowflake Data Engineering, including Snowpipe, Streams, Tasks, Snowpark, SnowSQL, data modeling, performance tuning, security, and governance.
- Extensive AWS experience with S3, Glue, Lambda, EMR, Redshift, Athena, Step Functions, IAM, KMS, CloudWatch, and CloudTrail.
- Strong Azure experience with ADF, Databricks, ADLS Gen2, Synapse, Azure Monitor, and Purview.
- Excellent experience with Python, SQL, PySpark, Apache Spark, Kafka, and Airflow for batch and real-time data pipelines.
- Strong knowledge of Data Warehousing, Dimensional Modeling, Fact/Dimension design, Grain, Surrogate Keys, and SCD Type 1/2/3.
- Experienced in ETL/ELT development, cloud migration, legacy modernization, data quality, reconciliation, performance optimization, and production support.
- Strong experience supporting financial, healthcare, insurance, regulatory, analytics, and reporting datasets.
- Hands-on experience delivering data for Tableau and Power BI.
- Strong communication skills with experience in requirements gathering, stakeholder coordination, mentoring, and offshore/onshore collaboration.
Professional Experience
GM Financial – Snowflake Data Engineer | April 2024 – Present
Currently focused on modern Snowflake and AWS data engineering. Developing batch and near-real-time pipelines using Snowflake, Snowpipe, Streams, Tasks, Snowpark, AWS Glue, Lambda, Airflow, Python, PySpark, and Kafka. Responsible for data modeling, performance tuning, data quality, security, governance, and delivering analytics-ready data for Tableau and Power BI.
McKesson – Data Engineer | July 2023 – March 2024
Worked on healthcare data engineering using Snowflake, Azure Data Factory, Databricks, Python, Airflow, and Kafka. Built scalable ETL/ELT and real-time pipelines, implemented dimensional models and SCD logic, performed data validation and cleansing, and supported Power BI analytics.
GM Financial / DXC Technology – Senior Data Engineer | January 2022 – April 2023
Worked on financial data platforms using Snowflake and AWS. Designed data models, developed Snowflake SQL/Snowpark pipelines, implemented governance and security, optimized workloads, and supported financial and regulatory reporting.
Opel Vauxhall Finance / DXC Technology – Data Engineer | May 2020 – December 2021
Developed enterprise ETL and data warehouse solutions using Informatica PowerCenter, SQL, Python, DB2, Oracle, and PostgreSQL. Supported data migration, SCD implementations, reconciliation, performance tuning, production support, and legacy modernization.
MetLife Insurance / DXC Technology – Data Engineer | January 2019 – April 2020
Developed enterprise ETL solutions using Talend and IBM DataStage for insurance data. Worked on fact/dimension loads, SCD Type 1/2, SQL/PLSQL, batch scheduling, source-to-target mapping, performance tuning, and production support.
Phoenix Life Insurance / DXC Technology – ETL Developer | June 2016 – December 2018
Built ETL pipelines using IBM DataStage, DB2, SQL, Unix, and Python. Responsible for data warehouse loads, data cleansing, profiling, reconciliation, validation, performance optimization, and operational automation.
Overall Candidate Strength
The biggest strength of this candidate is the combination of 10+ years of enterprise ETL experience with strong modern Cloud Data Engineering expertise.
Core Technology Strength:
Snowflake + AWS + Azure + Python + SQL + Spark/PySpark + Kafka + Airflow + ETL/ELT + Data Warehousing
The candidate also brings valuable domain experience in:
Financial Services | Healthcare | Insurance | Regulatory & Reporting
This makes the profile a strong fit for Senior Data Engineer, Snowflake Data Engineer, Cloud Data Engineer, Data Warehouse Engineer, and ETL/Data Modernization opportunities.
The candidate is available for immediate opportunities. Please review the profile and let me know if you have any suitable requirements or client openings.
Looking forward to your quick response.
Thank you,
Pavan
Sales Lead.
✉: pavan@peachitpros.com 📞: 732-344-4277
Osprey Way, West Windsor Township, NJ 08550, USA
www.peachitpros.com
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