Mike Makh
Senior Data Engineer at PWC | with 10 Years in Azure Data Factory, Snowflake, Databricks | Data Modeling | Python | SQL | Power BI | AWS | Data Warehousing| SSIS | Synapse | ADLS | ETL |
- Role
- Senior Data Engineer at PwC
- Location
- Orlando, FL, US
- LinkedIn followers
- 500 followers
About Mike Makh
In my professional journey from SQL Developer at Arconic to ETL & BI Engineer at Comcast,…
Experience
Senior Data Engineer
Jan 2023 — Present · Atlanta, GA, US
I utilized Azure Data Factory, Databricks, Power BI, Snowflake, AWS (EC2, S3, Lambda, IAM, CloudFormation), and Terraform to lead cloud migrations, optimize data models and pipelines, develop BI dashboards, and enhance data processing and security for improved efficiency.Developed optimized Star and Snowflake schema data models, boosting processing and reporting efficiency by 30% using Dimensional Modeling, PySpark, T-SQL, Azure Data Factory, and Azure Synapse.Led migration of legacy systems to Azure cloud, utilizing MySQL, Oracle, Amazon RDS, Azure VMs, Blob Storage, Functions, and ARM Templates for modernized data management. Optimized SQL database performance with advanced T-SQL and Oracle PL/SQL techniques.Engineered comprehensive data services on Azure with Azure Data Factory, SQL Database, Databricks, Data Lake Storage, and Informatica, enhancing pipeline efficiency by 35%. Automated tasks with Airflow, Python, PySpark, and PowerShell.Orchestrated data flows in specialized data lakes and developed Azure Data Factory pipelines, integrating GCP Cloud Storage and improving processing and integration by 20%.Integrated Snowflake with Databricks and Redshift, increasing processing speed and efficiency by 30%, and optimized data storage in the transition from Teradata to Snowflake.Developed and optimized BI dashboards and reports with Power BI and Tableau, utilizing SSAS for advanced data analysis, enhancing decision-making by 40%.Implemented row-level security in Power BI and SSRS, boosting data privacy and reducing incidents by 30%, with support from VBScript and Shell Scripting.Leveraged AWS EC2, S3, Lambda, Glue, and dbt to architect scalable data pipelines, improving system efficiency and data availability by 35%.Orchestrated data flows and pipelines using Agile Methodology, improving data management strategies and reducing latency in accessibility.
Education
Information Technology
Associate's degree
2010 — 2013
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.