diff --git a/ingestion/src/metadata/workflow/base.py b/ingestion/src/metadata/workflow/base.py
index 0afe8cf541e..9a69dd8304d 100644
--- a/ingestion/src/metadata/workflow/base.py
+++ b/ingestion/src/metadata/workflow/base.py
@@ -58,6 +58,7 @@ from metadata.utils.streamable_logger import (
     setup_streamable_logging_for_workflow,
 )
 from metadata.workflow.workflow_output_handler import WorkflowOutputHandler
+from metadata.workflow.workflow_resource_metrics import WorkflowResourceMetrics
 from metadata.workflow.workflow_status_mixin import WorkflowStatusMixin
 
 logger = ingestion_logger()
@@ -363,6 +364,20 @@ class BaseWorkflow(ABC, WorkflowStatusMixin):
                     f" found {len(step.status.failures)} errors"
                 )
 
+            # Only calculate resource metrics when debug is enabled
+            # for no unnecessary computations
+            if self._is_debug_enabled():
+                metrics = WorkflowResourceMetrics()
+                logger.debug(
+                    f"Workflow Resources - "
+                    f"CPU: {metrics.cpu_usage_percent:.2f}% "
+                    f"({metrics.system_cpu_cores}c/{metrics.system_cpu_threads}t) | "
+                    f"Memory: {metrics.memory_used_mb:.2f}MB/"
+                    f"{metrics.memory_total_mb:.2f}MB "
+                    f"({metrics.memory_usage_percent:.2f}%) | "
+                    f"Processes: {metrics.active_processes}"
+                )
+
         except Exception as exc:
             logger.debug(traceback.format_exc())
             logger.error(f"Wild exception reporting status - {exc}")
diff --git a/ingestion/src/metadata/workflow/workflow_resource_metrics.py b/ingestion/src/metadata/workflow/workflow_resource_metrics.py
new file mode 100644
index 00000000000..c663778f21a
--- /dev/null
+++ b/ingestion/src/metadata/workflow/workflow_resource_metrics.py
@@ -0,0 +1,111 @@
+#  Copyright 2025 Collate
+#  Licensed under the Collate Community License, Version 1.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+
+"""
+Module to capture resource metrics for workflow execution monitoring
+"""
+
+import os
+from typing import Optional
+
+import psutil
+
+
+class WorkflowResourceMetrics:
+    """Captures CPU and memory metrics for a workflow process and all its children."""
+
+    def __init__(self, pid: Optional[int] = None):
+        """Initialize metrics for the given process ID (defaults to current process)."""
+        self.pid: int = pid or os.getpid()
+        self._collect_metrics()
+
+    def _collect_metrics(self):
+        """Collect metrics for this process and all its children."""
+        try:
+            process = psutil.Process(self.pid)
+
+            # Get memory and CPU for this process and all its children
+            total_mem_rss = process.memory_info().rss
+            total_cpu = process.cpu_percent(interval=1)
+            process_count = 1
+            total_threads = process.num_threads()  # Get thread count for main process
+
+            # Is process is spawning other child processes via multiprocessing
+            # then, include all child processes. This is needed to get aggregated
+            # view of CPU and memory usage
+            try:
+                children = process.children(recursive=True)
+                process_count += len(children)
+                for child in children:
+                    try:
+                        total_mem_rss += child.memory_info().rss
+                        total_cpu += child.cpu_percent(interval=0.1)
+                        total_threads += (
+                            child.num_threads()
+                        )  # Add thread count for each child
+                    except (psutil.NoSuchProcess, psutil.AccessDenied):
+                        pass
+            except Exception:
+                pass
+
+            # Get actual system memory info
+            system_mem = psutil.virtual_memory()
+
+            # Get CPU core information
+            cpu_cores = psutil.cpu_count(logical=False)  # Physical cores
+            cpu_logical = psutil.cpu_count(
+                logical=True
+            )  # Logical cores (with hyperthreading)
+
+            # Store computed metrics
+            self.cpu_usage_percent: float = total_cpu
+            self.memory_used_rss_bytes: int = total_mem_rss
+            self.memory_used_mb: float = total_mem_rss / (1024 * 1024)
+            self.memory_total_mb: float = system_mem.total / (1024 * 1024)
+            self.memory_usage_percent: float = (total_mem_rss / system_mem.total) * 100
+            self.active_processes: int = process_count
+            self.active_threads: int = total_threads
+            self.system_cpu_cores: int = cpu_cores or 1
+            self.system_cpu_threads: int = cpu_logical or 1
+
+        except (psutil.NoSuchProcess, psutil.AccessDenied, Exception):
+            # Fallback values if process metrics cannot be collected
+            self.cpu_usage_percent = 0.0
+            self.memory_used_rss_bytes = 0
+            self.memory_used_mb = 0.0
+            self.memory_total_mb = 0.0
+            self.memory_usage_percent = 0.0
+            self.active_processes = 0
+            self.active_threads = 0
+            self.system_cpu_cores = 1
+            self.system_cpu_threads = 1
+
+    def to_dict(self):
+        """Return metrics as a dictionary."""
+        return {
+            "cpu_usage_percent": self.cpu_usage_percent,
+            "memory_used_rss_bytes": self.memory_used_rss_bytes,
+            "memory_used_mb": self.memory_used_mb,
+            "memory_total_mb": self.memory_total_mb,
+            "memory_usage_percent": self.memory_usage_percent,
+            "active_processes": self.active_processes,
+            "active_threads": self.active_threads,
+            "system_cpu_cores": self.system_cpu_cores,
+            "system_cpu_threads": self.system_cpu_threads,
+        }
+
+    def __str__(self):
+        """String representation of metrics."""
+        return (
+            f"CPU: {self.cpu_usage_percent:.2f}% ({self.system_cpu_cores}c/{self.system_cpu_threads}t) | "
+            f"Memory: {self.memory_used_mb:.2f}MB/{self.memory_total_mb:.2f}MB ({self.memory_usage_percent:.2f}%) | "
+            f"Processes: {self.active_processes} | Threads: {self.active_threads}"
+        )