Priya Bardhan K. — Product Manager

► Data Engineering, Analytics Specialist with 10 years of expertise in designing and implementing data-driven solutions across diverse industries, including retail, healthcare, and pharmaceuticals. ► Consistent track record of streamlining data pipelines, optimizing ETL processes, and deploying high-performance data infrastructures on cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks. ► Proven ability to collaborate with cross-functional teams, business stakeholders to translate complex business challenges into transformative data solutions. Expertise in resolving complex business and technical requirements by building efficient data and analytics solutions. ► Currently, Leading data engineering and data architecture aspects of B2B, B2C, D2C, and Retail pricing solutions at McKinsey, enabling global retailers to optimize profit margins and improve promotion effectiveness. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: • 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: Python, SQL, Spark, Shell, Lua Scripting, Typescript • 𝗘𝗧𝗟/𝗘𝗟𝗧 𝗧𝗼𝗼𝗹𝘀: Databricks, dbt (Data Build Tool), SQLMesh, Informatica Cloud, Matillion, Fivetran, Rivery, Stitch, Talend, Rudderstack, Hightouch, KNIME, Alteryx, Palantir Foundry, Airbyte, Attunity • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Snowflake, Exasol, Oracle, Redshift, BigQuery • 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Power BI, Looker, Metabase, Hex • 𝗠𝗗𝗠 & 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Informatica MDM Hub, Collibra • 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Azure Databricks/Storage/Functions/Data factory, AWS Glue/S3/Lambda/DynamoDB/Kinesis/ EMR/Athena/DMS, GCP Cloud Storage/BigQuery/Dataflow/Dataproc/Composer/Data Fusion, Streamlit, Grafana, Prometheus • 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Dagster, Airflow, Jenkins, Prefect, Mage • 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗖𝗜/𝗖𝗗: Jenkins, GitLab, Terraform, Docker 𝗗𝗼𝗺𝗮𝗶𝗻 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Retail, Healthcare, Pharmaceuticals

Stackforce AI infers this person is a Data Engineering Specialist with expertise in Retail and Healthcare industries.

Location: Gurgaon, Haryana, India

Experience: 10 yrs 9 mos