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Director - Data and Analytics Engineering
I am a seasoned professional with a prestigious experience & chronicled success of 15+ years in spearheading multi-functional roles encompassing Data Analytics, Data Warehousing & Engineering, Governance and Continuous Process Improvement/Transitions. Expertise in assessing evolving demands of data platform architecture, structured data, batch and streaming flows, and providing architectural solutions, resulting in improved performance and delivery processes. Displayed expertise in utilizing a wide range of cutting-edge technologies, including Data Integration, Google Cloud Platform (GCP), Terraform, AzureDevOps, Snowflake, Docker/Container, DBT, Pentaho, ETL/ELT Development, Oracle, SQL Developer, Informatica, SSIS, Python, JavaScript, Shell, ServiceNow Development, UNIX, LINUX, and Mainframes, to deliver seamless data integration solutions and architect robust data platforms. Enthusiastically meeting deadlines with innate skills in building high performing multi-cultural teams of about 70+ members that excel in delivering business value with high morale & low attrition; recruiting, leading, training & monitoring performance of the team members for maintaining excellence in operations.
Bharati Vidyapeeth
Bachelor of Computer Science and Engineering, Computer Science and Engineering
N/A – Present
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Cultural Fit Analysis
The candidate has a long and varied career, starting in mainframe development and transitioning into modern data engineering and analytics leadership. This adaptability and continuous learning suggest a good cultural fit for dynamic environments. However, the target role is 'Analytics Engineer', which typically involves more hands-on data modeling, transformation, and visualization, often using tools like dbt, SQL, and potentially BI tools. While the candidate has strong data engineering and leadership experience, the direct hands-on 'Analytics Engineer' specific skills (beyond SQL and dbt mentioned in one role) are not as prominently detailed in recent leadership roles. The breadth of experience is good, but the direct alignment with the hands-on aspects of an Analytics Engineer role needs further validation.
Soft Skills & Operational Fit
The candidate's resume highlights leadership, team building, mentoring, stakeholder management, and fostering ownership, indicating strong soft skills. Their experience in designing and implementing solutions, coupled with promoting AI tools, suggests an operational fit for driving innovation and efficiency within an analytics engineering function.